Economic violence is a form of domestic violence that extends beyond physical harm,affecting victims’economic stability and independence.This situation perpetuates gender inequality and also reinforces the cycle of g...Economic violence is a form of domestic violence that extends beyond physical harm,affecting victims’economic stability and independence.This situation perpetuates gender inequality and also reinforces the cycle of gender-based violence.With definitions of economic violence broadening to encompass a range of coercive and manipulative behaviors-from financial abuse in domestic violence scenarios to the economic harassment faced by stay-at-home moms-understanding this form of exploitation is crucial for crafting effective interventions.This article aims to delve into various facets of economic violence,including its definition,prevalence,and the stark realities it creates for its victims.Following the search of international databases:Social Work Abstracts(EBSCO),Psychology Abstracts,Family and Women Studies Worldwide,Psychiatry Online,Psych INFO(including Psych ARTICLES),PubMed,Wiley,and Scopus,60 peer-reviewed articles that met all inclusion criteria were included in the paper.Our review clarifies that looking forward,the call for a comprehensive understanding of economic violence,enhanced legal frameworks,and the strengthening of supportive networks underscore the multidisciplinary approach required to combat this issue effectively.展开更多
In 2001, the International Seabed Authority （ISBA） initiated the consideration relating to the Regulations for Prospecting and Exploration for Hydrothermal Polymetallic Sulphides and Cobalt-rich Ferromanganese Crust...In 2001, the International Seabed Authority （ISBA） initiated the consideration relating to the Regulations for Prospecting and Exploration for Hydrothermal Polymetallic Sulphides and Cobalt-rich Ferromanganese Crusts in the Area at its 7th session. Since then, the consideration of the Regulations has been mainly focused on the size of areas to be allocated for exploration and exploitation of the crusts. This paper, based on the investigation data and the analysis of the distribution characteristics of the crusts, suggests a model for determining the size of areas for exploration and exploitation of the crusts, taking into account various factors such as production scale, crust thickness and grade, mineable area proportion, recovery efficiency, exploration venture, and so on. Through the modeling, the paper suggests that the exploration area （the area covered by each application for approval of a plan of work for exploration of cobalt-rich crusts） shall be 4 856 km2 and the exploitation area （the mine site area） shall be 1 214 km2, for 20 years of 1 million wet tonnes annual production.展开更多
The insect is the animal protein feed resource potential, the rapid repro- duction, large quantity, high protein content, and most species of insects can be used as livestock feed utilization, development of insect as...The insect is the animal protein feed resource potential, the rapid repro- duction, large quantity, high protein content, and most species of insects can be used as livestock feed utilization, development of insect as feed resources, to pro- mote the development of China＇s animal husbandry and feed industry, has important significance.展开更多
Rural tourism, i.e., agrotourism, is the newly-exploited tourism product[1] with agricultural production, rustic view, rural life and rural custom as the main carrier and with agriculture and countryside as the touris...Rural tourism, i.e., agrotourism, is the newly-exploited tourism product[1] with agricultural production, rustic view, rural life and rural custom as the main carrier and with agriculture and countryside as the tourism resources. Zhenjiang City is in possession of adequate source markets, abundant rural tourism resources, good tourist ecological environment and profound culture. The pleasant ecological environment and charming rural scenery provide the development of rural tourism in Zhenjiang with exceptional advantages. The exploitation of rural tourism not only promotes the exploitation and development of agricultural tourism in Zhenjiang, but also improves the structure of tourism product, simulating the healthy development of rural economy. Through the analysis of the exploitation advantage of the rural tourism resources in Zhenjiang, the author analyzed the exploitation situation and existing problems of the rural tourism resources in Zhenjiang. The author considered that the rural tourism development in Zhenjiang was lack of unified planning; the cultural content of tourism product was low; the development depth was not enough; the construction of infrastructure was lagging behind; and meanwhile, it was lacking of funding, tourism program and advertising promotion. In the light of the above deficiencies, a series of countermeasures of rural tourism exploitation was put forward, that is, to complete the exploitation planning of the rural tourism resources, promoting the cultural taste of the rural tourism product; to enhance the publicity of the rural tourism, highlighting the brand feature of local tourism and creating high-quality product; to conduct standard management, strengthening the training of tourism management personnel.展开更多
This study aimed to make an orientation for the development of Zhenjiang Pearl S.Buck tourism products.According to the spatial structure styles of tourism products,this paper discussed the exploitation of Zhenjiang P...This study aimed to make an orientation for the development of Zhenjiang Pearl S.Buck tourism products.According to the spatial structure styles of tourism products,this paper discussed the exploitation of Zhenjiang Pearl S.Buck tourism products from the perspective of spot products,linear products and network products.It expanded the Pearl S.Buck research to tourism science field and put forward some ideas of promoting the comprehensive benefits of Pearl S.Buck tourism resource as well as the exploitation of similar tourism products.展开更多
Natural environment of Hailuogou Scenic Area(Conch Gully)was introduced,and it was pointed out that tourist resources in the study area showed gradient differentiation along the vertical height.In view of such gradien...Natural environment of Hailuogou Scenic Area(Conch Gully)was introduced,and it was pointed out that tourist resources in the study area showed gradient differentiation along the vertical height.In view of such gradient differentiation,resource contents and characteristics of its cultural heritages zone,geothermal resources zone,forest vegetation zone,and glacial resources zone were respectively analyzed.Based on the gradient differentiation of tourist resources in Hailuogou Scenic Area,suggestions were given for its further tourism development,and it was stressed that brand effects of the attractions should be enhanced,infrastructure construction and maintenance of newly-explored scenic spots should be improved,and more efforts should be devoted to explore disastrous landform resources.This research is of practical significance for studying spatial differentiation and evolution mechanism of tourist resources in mountainous areas in western China,and also provides scientific support for the exploration of tourist resources in mountainous areas.展开更多
The paper had introduced geographic causes and types of hot springs, illustrated its disease-treating function and displayed its great vitality and widespread development prospect as tourist resources. By taking Shawa...The paper had introduced geographic causes and types of hot springs, illustrated its disease-treating function and displayed its great vitality and widespread development prospect as tourist resources. By taking Shawan Hot Spring in Xinjiang for example, the paper had analyzed its natural condition, hot springs and tourist economic development. And then, quantitative and qualitative analysis had been conducted on the quality of water environment resources in the research area. It had analyzed reasons for degeneration of water environment and studied exploitation and sustainable development of hot springs. It was considered that environment especially water environment quality had decreased since hot spring tourism development. In order to achieve sustainable development of hot springs and promotion of local tourism, it must be guided by environment treatment, and some strategies for sustainable development of hot springs had been proposed.展开更多
Padma was 17 when the democratic reform was introduced in Xizang in 1959.Before the reform,the region had been ruled by feudal serfdom under a theocracy for centuries.Nearly one million serfs were subjected to estate-...Padma was 17 when the democratic reform was introduced in Xizang in 1959.Before the reform,the region had been ruled by feudal serfdom under a theocracy for centuries.Nearly one million serfs were subjected to estate-holders'cruel exploitation and oppression.Padma was one of them.展开更多
In this study,a completely different approach to optimization is introduced through the development of a novel metaheuristic algorithm called the Barber Optimization Algorithm(BaOA).Inspired by the human interactions ...In this study,a completely different approach to optimization is introduced through the development of a novel metaheuristic algorithm called the Barber Optimization Algorithm(BaOA).Inspired by the human interactions between barbers and customers,BaOA captures two key processes:the customer’s selection of a hairstyle and the detailed refinement during the haircut.These processes are translated into a mathematical framework that forms the foundation of BaOA,consisting of two critical phases:exploration,representing the creative selection process,and exploitation,which focuses on refining details for optimization.The performance of BaOA is evaluated using 52 standard benchmark functions,including unimodal,high-dimensional multimodal,fixed-dimensional multimodal,and the Congress on Evolutionary Computation(CEC)2017 test suite.This comprehensive assessment highlights BaOA’s ability to balance exploration and exploitation effectively,resulting in high-quality solutions.A comparative analysis against twelve widely known metaheuristic algorithms further demonstrates BaOA’s superior performance,as it consistently delivers better results across most benchmark functions.To validate its real-world applicability,BaOA is tested on four engineering design problems,illustrating its capability to address practical challenges with remarkable efficiency.The results confirm BaOA’s versatility and reliability as an optimization tool.This study not only introduces an innovative algorithm but also establishes its effectiveness in solving complex problems,providing a foundation for future research and applications in diverse scientific and engineering domains.展开更多
Heuristic optimization algorithms have been widely used in solving complex optimization problems in various fields such as engineering,economics,and computer science.These algorithms are designed to find high-quality ...Heuristic optimization algorithms have been widely used in solving complex optimization problems in various fields such as engineering,economics,and computer science.These algorithms are designed to find high-quality solutions efficiently by balancing exploration of the search space and exploitation of promising solutions.While heuristic optimization algorithms vary in their specific details,they often exhibit common patterns that are essential to their effectiveness.This paper aims to analyze and explore common patterns in heuristic optimization algorithms.Through a comprehensive review of the literature,we identify the patterns that are commonly observed in these algorithms,including initialization,local search,diversity maintenance,adaptation,and stochasticity.For each pattern,we describe the motivation behind it,its implementation,and its impact on the search process.To demonstrate the utility of our analysis,we identify these patterns in multiple heuristic optimization algorithms.For each case study,we analyze how the patterns are implemented in the algorithm and how they contribute to its performance.Through these case studies,we show how our analysis can be used to understand the behavior of heuristic optimization algorithms and guide the design of new algorithms.Our analysis reveals that patterns in heuristic optimization algorithms are essential to their effectiveness.By understanding and incorporating these patterns into the design of new algorithms,researchers can develop more efficient and effective optimization algorithms.展开更多
The geothermal resources in hot dry rock(HDR)are considered the future trend in geothermal energy extraction due to their abundant reserves.However,exploitation of the resources is fraught with complexity and technica...The geothermal resources in hot dry rock(HDR)are considered the future trend in geothermal energy extraction due to their abundant reserves.However,exploitation of the resources is fraught with complexity and technical challenges arising from their unique characteristics of high temperature,high strength,and low permeability.With the continuous advancement of artificial intelligence(AI)technology,intelligent algorithms such as machine learning and evolutionary algorithms are gradually replacing or assisting traditional research methods,providing new solutions for HDR geothermal resource exploitation.This study first provides an overview of HDR geothermal resource exploitation technologies and AI methods.Then,the latest research progress is systematically reviewed in AI applications in HDR geothermal reservoir characterization,deep drilling,heat production,and operational parameter optimization.Additionally,this study discusses the potential limitations of AI methods in HDR geothermal resource exploitation and highlights the corresponding opportunities for AI's application.Notably,the study proposes the framework of an intelligent HDR exploitation system,offering a valuable reference for future research and practice.展开更多
This paper introduces a novel optimization approach called Recuperated Seed Search Optimization(RSSO),designed to address challenges in solving mechanical engineering design problems.Many optimization techniques strug...This paper introduces a novel optimization approach called Recuperated Seed Search Optimization(RSSO),designed to address challenges in solving mechanical engineering design problems.Many optimization techniques struggle with slow convergence and suboptimal solutions due to complex,nonlinear natures.The Sperm Swarm Optimization(SSO)algorithm,which mimics the sperm’s movement to reach an egg,is one such technique.To improve SSO,researchers combined it with three strategies:opposition-based learning(OBL),Cauchy mutation(CM),and position clamping.OBL introduces diversity to SSO by exploring opposite solutions,speeding up convergence.CM enhances both exploration and exploitation capabilities throughout the optimization process.This combined approach,RSSO,has been rigorously tested on standard benchmark functions,real-world engineering problems,and through statistical analysis(Wilcoxon test).The results demonstrate that RSSO significantly outperforms other optimization algorithms,achieving faster convergence and better solutions.The paper details the RSSO algorithm,discusses its implementation,and presents comparative results that validate its effectiveness in solving complex engineering design challenges.展开更多
In repeated zero-sum games,instead of constantly playing an equilibrium strategy of the stage game,learning to exploit the opponent given historical interactions could typically obtain a higher utility.However,when pl...In repeated zero-sum games,instead of constantly playing an equilibrium strategy of the stage game,learning to exploit the opponent given historical interactions could typically obtain a higher utility.However,when playing against a fully adaptive opponent,one would have dificulty identifying the opponent's adaptive dynamics and further exploiting its potential weakness.In this paper,we study the problem of optimizing against the adaptive opponent who uses no-regret learning.No-regret learning is a classic and widely-used branch of adaptive learning algorithms.We propose a general framework for online modeling no-regret opponents and exploiting their weakness.With this framework,one could approximate the opponent's no-regret learning dynamics and then develop a response plan to obtain a significant profit based on the inferences of the opponent's strategies.We employ two system identification architectures,including the recurrent neural network(RNN)and the nonlinear autoregressive exogenous model,and adopt an efficient greedy response plan within the framework.Theoretically,we prove the approximation capability of our RNN architecture at approximating specific no-regret dynamics.Empirically,we demonstrate that during interactions at a low level of non-stationarity,our architectures could approximate the dynamics with a low error,and the derived policies could exploit the no-regret opponent to obtain a decent utility.展开更多
Exploring dynamic mechanical responses and failure behaviors of hot dry rock(HDR)is significant for geothermal exploitation and stability assessment.In this study,via the split Hopkinson pressure bar(SHPB)system,a ser...Exploring dynamic mechanical responses and failure behaviors of hot dry rock(HDR)is significant for geothermal exploitation and stability assessment.In this study,via the split Hopkinson pressure bar(SHPB)system,a series of dynamic compression tests were conducted on granite treated by cyclic thermal shocks at different temperatures.We analyzed the effects of cyclic thermal shock on the thermal-related physical and dynamic mechanical behaviors of granite.Specifically,the P-wave velocity,dynamic strength,and elastic modulus of the tested granite decrease with increasing temperature and cycle number,while porosity and peak strain increase.The degradation law of dynamic mechanical properties could be described by a cubic polynomial.Cyclic thermal shock promotes shear cracks propagation,causing dynamic failure mode of granite to transition from splitting to tensile-shear composite failure,accompanied by surface spalling and debris splashing.Moreover,the thermal shock damage evolution and coupled failure mechanism of tested granite are discussed.The evolution of thermal shock damage with thermal shock cycle numbers shows an obvious S-shaped surface,featured by an exponential correlation with dynamic mechanical parameters.In addition,with increasing thermal shock temperature and cycles,granite mineral species barely change,but the length and width of thermal cracks increase significantly.The non-uniform expansion of minerals,thermal shock-induced cracking,and water-rock interaction are primary factors for deteriorating dynamic mechanical properties of granite under cyclic thermal shock.展开更多
This study employs experimental and analytical methods to quantitatively investigate the nonlinear geomechanical and physicochemical processes of multiphase and high-stress coal-bearing rock masses and non-equilibrium...This study employs experimental and analytical methods to quantitatively investigate the nonlinear geomechanical and physicochemical processes of multiphase and high-stress coal-bearing rock masses and non-equilibrium geological materials,as well as their interactions.The research encompasses following aspects,i.e.1)the relationship between volatile matter yield,geological age,and distance from magmatic deposits in Kuzbass coalfield;2)the impact of physicochemical property bifurcations on coal and gas outbursts;3)the variation law of coalbed methane content with burial depth;4)the relaxation energy of gas content;5)the specific surface area of coal;6)the relationship between heat release and deformation waves of Kuzbass coal samples of different orders under uniaxial compression;7)the gas outbursts in different mines in Kuzbass;8)the relationship between seismic energy and gas outburst concentration in coal mines;9)the influence of piston mechanism;10)the connection operation between Langmuir equation and Oparin equation;and 11)the equation of motion for structural media.The research results have created a prerequisite for establishing a unified theory of the interaction between nonlinear geomechanics and physicochemical processes in rock masses,which is of great significance for the safe development and utilization of underground resources.展开更多
The permeability of rocks is of utmost importance in the exploitation of deep geological resources.Current characterizations of rock permeability typically consider the influence of either pores or fractures alone.How...The permeability of rocks is of utmost importance in the exploitation of deep geological resources.Current characterizations of rock permeability typically consider the influence of either pores or fractures alone.However,deep reservoir rock formations are subjected to complex environments with coupling of high temperature and stress.As a result,deep reservoir rocks possess a complex structure comprising of pores and fractures,making it challenging to understand their impact on permeability.Comprehending this relationship is vital for the secure and efficient exploitation of deep geological resources.This study presents a permeability calculation model that enables simultaneously quantify the impacts of pore and fracture with full feature size.The model independently considers large-scale fractures’fractal properties and tortuosity while also addressing the distribution and size of small-scale pores.A tortuosity expression that incorporates the effects of thermal damage has been developed using the pore geometric elasticity method.Considering the distinct contributions of pores and fractures to rock permeability,a comprehensive rock permeability calculation model is established.This model has two main strengths:it thoroughly characterizes the influence of pore structures on permeability at multiple scales and precisely details how fractal attributes of fractures affect permeability.To validate the applicability of the model,this study conducted seepage experiments and microscopic observations,capturing the variations in permeability under thermo-mechanical coupling,while quantifying the geometric characteristics and spatial distribution of pores and fractures within the rock.By comparing the measured permeability results,the theoretical values demonstrated a commendable fit.In comparison to previous models,this innovative approach more accurately captures various flow characteristics of the rock under the influence of thermo-mechanical coupling.展开更多
This study examined how exploitative leadership undermines employees’experience of flow with work role overload and traditionalist values.Data were collected from 361 staff members across diverse industries in China(...This study examined how exploitative leadership undermines employees’experience of flow with work role overload and traditionalist values.Data were collected from 361 staff members across diverse industries in China(females=58.17%,mean age=32.14,SD=5.83).Structural equation modeling results indicated that exploitative leadership reduces employees’work-related flow via increased role overload.Furthermore,employees’traditionality level moderates the exploitative leadership effects on role overload.Specifically,employees with higher traditionality reported lower role overload when experiencing exploitative leadership,suggesting that cultural values may buffer its negative impact.This study contributes to understanding the mechanism and contextual factors linking exploitative leadership to work-related flow,filling a gap in the literature.Organizations are encouraged to reduce exploitative leadership behaviors through leadership development programs and to consider employees’value orientations when designing work environments.展开更多
文摘Economic violence is a form of domestic violence that extends beyond physical harm,affecting victims’economic stability and independence.This situation perpetuates gender inequality and also reinforces the cycle of gender-based violence.With definitions of economic violence broadening to encompass a range of coercive and manipulative behaviors-from financial abuse in domestic violence scenarios to the economic harassment faced by stay-at-home moms-understanding this form of exploitation is crucial for crafting effective interventions.This article aims to delve into various facets of economic violence,including its definition,prevalence,and the stark realities it creates for its victims.Following the search of international databases:Social Work Abstracts(EBSCO),Psychology Abstracts,Family and Women Studies Worldwide,Psychiatry Online,Psych INFO(including Psych ARTICLES),PubMed,Wiley,and Scopus,60 peer-reviewed articles that met all inclusion criteria were included in the paper.Our review clarifies that looking forward,the call for a comprehensive understanding of economic violence,enhanced legal frameworks,and the strengthening of supportive networks underscore the multidisciplinary approach required to combat this issue effectively.
基金China International Seabed Area R & D Program under contract No.DYXM-115-01-1
文摘In 2001, the International Seabed Authority （ISBA） initiated the consideration relating to the Regulations for Prospecting and Exploration for Hydrothermal Polymetallic Sulphides and Cobalt-rich Ferromanganese Crusts in the Area at its 7th session. Since then, the consideration of the Regulations has been mainly focused on the size of areas to be allocated for exploration and exploitation of the crusts. This paper, based on the investigation data and the analysis of the distribution characteristics of the crusts, suggests a model for determining the size of areas for exploration and exploitation of the crusts, taking into account various factors such as production scale, crust thickness and grade, mineable area proportion, recovery efficiency, exploration venture, and so on. Through the modeling, the paper suggests that the exploration area （the area covered by each application for approval of a plan of work for exploration of cobalt-rich crusts） shall be 4 856 km2 and the exploitation area （the mine site area） shall be 1 214 km2, for 20 years of 1 million wet tonnes annual production.
基金Supported by the Planned Project for the Innovation and Entrepreneurship Training of College Students in China~~
文摘The insect is the animal protein feed resource potential, the rapid repro- duction, large quantity, high protein content, and most species of insects can be used as livestock feed utilization, development of insect as feed resources, to pro- mote the development of China＇s animal husbandry and feed industry, has important significance.
文摘Rural tourism, i.e., agrotourism, is the newly-exploited tourism product[1] with agricultural production, rustic view, rural life and rural custom as the main carrier and with agriculture and countryside as the tourism resources. Zhenjiang City is in possession of adequate source markets, abundant rural tourism resources, good tourist ecological environment and profound culture. The pleasant ecological environment and charming rural scenery provide the development of rural tourism in Zhenjiang with exceptional advantages. The exploitation of rural tourism not only promotes the exploitation and development of agricultural tourism in Zhenjiang, but also improves the structure of tourism product, simulating the healthy development of rural economy. Through the analysis of the exploitation advantage of the rural tourism resources in Zhenjiang, the author analyzed the exploitation situation and existing problems of the rural tourism resources in Zhenjiang. The author considered that the rural tourism development in Zhenjiang was lack of unified planning; the cultural content of tourism product was low; the development depth was not enough; the construction of infrastructure was lagging behind; and meanwhile, it was lacking of funding, tourism program and advertising promotion. In the light of the above deficiencies, a series of countermeasures of rural tourism exploitation was put forward, that is, to complete the exploitation planning of the rural tourism resources, promoting the cultural taste of the rural tourism product; to enhance the publicity of the rural tourism, highlighting the brand feature of local tourism and creating high-quality product; to conduct standard management, strengthening the training of tourism management personnel.
文摘This study aimed to make an orientation for the development of Zhenjiang Pearl S.Buck tourism products.According to the spatial structure styles of tourism products,this paper discussed the exploitation of Zhenjiang Pearl S.Buck tourism products from the perspective of spot products,linear products and network products.It expanded the Pearl S.Buck research to tourism science field and put forward some ideas of promoting the comprehensive benefits of Pearl S.Buck tourism resource as well as the exploitation of similar tourism products.
基金Supported by(First batch of)Scientific Research Program of Sichuan Academy of Higher Education(2007No.33)Key Project(2008)of Sichuan Provincial Department of Education:Study on the Industrial Cluster in Less-developed Areas(08SA047)~~
文摘Natural environment of Hailuogou Scenic Area(Conch Gully)was introduced,and it was pointed out that tourist resources in the study area showed gradient differentiation along the vertical height.In view of such gradient differentiation,resource contents and characteristics of its cultural heritages zone,geothermal resources zone,forest vegetation zone,and glacial resources zone were respectively analyzed.Based on the gradient differentiation of tourist resources in Hailuogou Scenic Area,suggestions were given for its further tourism development,and it was stressed that brand effects of the attractions should be enhanced,infrastructure construction and maintenance of newly-explored scenic spots should be improved,and more efforts should be devoted to explore disastrous landform resources.This research is of practical significance for studying spatial differentiation and evolution mechanism of tourist resources in mountainous areas in western China,and also provides scientific support for the exploration of tourist resources in mountainous areas.
基金Supported by Natural Science Foundation of China (40961008)~~
文摘The paper had introduced geographic causes and types of hot springs, illustrated its disease-treating function and displayed its great vitality and widespread development prospect as tourist resources. By taking Shawan Hot Spring in Xinjiang for example, the paper had analyzed its natural condition, hot springs and tourist economic development. And then, quantitative and qualitative analysis had been conducted on the quality of water environment resources in the research area. It had analyzed reasons for degeneration of water environment and studied exploitation and sustainable development of hot springs. It was considered that environment especially water environment quality had decreased since hot spring tourism development. In order to achieve sustainable development of hot springs and promotion of local tourism, it must be guided by environment treatment, and some strategies for sustainable development of hot springs had been proposed.
文摘Padma was 17 when the democratic reform was introduced in Xizang in 1959.Before the reform,the region had been ruled by feudal serfdom under a theocracy for centuries.Nearly one million serfs were subjected to estate-holders'cruel exploitation and oppression.Padma was one of them.
文摘In this study,a completely different approach to optimization is introduced through the development of a novel metaheuristic algorithm called the Barber Optimization Algorithm(BaOA).Inspired by the human interactions between barbers and customers,BaOA captures two key processes:the customer’s selection of a hairstyle and the detailed refinement during the haircut.These processes are translated into a mathematical framework that forms the foundation of BaOA,consisting of two critical phases:exploration,representing the creative selection process,and exploitation,which focuses on refining details for optimization.The performance of BaOA is evaluated using 52 standard benchmark functions,including unimodal,high-dimensional multimodal,fixed-dimensional multimodal,and the Congress on Evolutionary Computation(CEC)2017 test suite.This comprehensive assessment highlights BaOA’s ability to balance exploration and exploitation effectively,resulting in high-quality solutions.A comparative analysis against twelve widely known metaheuristic algorithms further demonstrates BaOA’s superior performance,as it consistently delivers better results across most benchmark functions.To validate its real-world applicability,BaOA is tested on four engineering design problems,illustrating its capability to address practical challenges with remarkable efficiency.The results confirm BaOA’s versatility and reliability as an optimization tool.This study not only introduces an innovative algorithm but also establishes its effectiveness in solving complex problems,providing a foundation for future research and applications in diverse scientific and engineering domains.
文摘Heuristic optimization algorithms have been widely used in solving complex optimization problems in various fields such as engineering,economics,and computer science.These algorithms are designed to find high-quality solutions efficiently by balancing exploration of the search space and exploitation of promising solutions.While heuristic optimization algorithms vary in their specific details,they often exhibit common patterns that are essential to their effectiveness.This paper aims to analyze and explore common patterns in heuristic optimization algorithms.Through a comprehensive review of the literature,we identify the patterns that are commonly observed in these algorithms,including initialization,local search,diversity maintenance,adaptation,and stochasticity.For each pattern,we describe the motivation behind it,its implementation,and its impact on the search process.To demonstrate the utility of our analysis,we identify these patterns in multiple heuristic optimization algorithms.For each case study,we analyze how the patterns are implemented in the algorithm and how they contribute to its performance.Through these case studies,we show how our analysis can be used to understand the behavior of heuristic optimization algorithms and guide the design of new algorithms.Our analysis reveals that patterns in heuristic optimization algorithms are essential to their effectiveness.By understanding and incorporating these patterns into the design of new algorithms,researchers can develop more efficient and effective optimization algorithms.
基金Open Research Fund of Key Laboratory of Deep Earth Science and Engineering,Grant/Award Number:DESEYU202303Fundamental Research Funds for the Central Universities,Grant/Award Number:DUT24GJ205。
文摘The geothermal resources in hot dry rock(HDR)are considered the future trend in geothermal energy extraction due to their abundant reserves.However,exploitation of the resources is fraught with complexity and technical challenges arising from their unique characteristics of high temperature,high strength,and low permeability.With the continuous advancement of artificial intelligence(AI)technology,intelligent algorithms such as machine learning and evolutionary algorithms are gradually replacing or assisting traditional research methods,providing new solutions for HDR geothermal resource exploitation.This study first provides an overview of HDR geothermal resource exploitation technologies and AI methods.Then,the latest research progress is systematically reviewed in AI applications in HDR geothermal reservoir characterization,deep drilling,heat production,and operational parameter optimization.Additionally,this study discusses the potential limitations of AI methods in HDR geothermal resource exploitation and highlights the corresponding opportunities for AI's application.Notably,the study proposes the framework of an intelligent HDR exploitation system,offering a valuable reference for future research and practice.
文摘This paper introduces a novel optimization approach called Recuperated Seed Search Optimization(RSSO),designed to address challenges in solving mechanical engineering design problems.Many optimization techniques struggle with slow convergence and suboptimal solutions due to complex,nonlinear natures.The Sperm Swarm Optimization(SSO)algorithm,which mimics the sperm’s movement to reach an egg,is one such technique.To improve SSO,researchers combined it with three strategies:opposition-based learning(OBL),Cauchy mutation(CM),and position clamping.OBL introduces diversity to SSO by exploring opposite solutions,speeding up convergence.CM enhances both exploration and exploitation capabilities throughout the optimization process.This combined approach,RSSO,has been rigorously tested on standard benchmark functions,real-world engineering problems,and through statistical analysis(Wilcoxon test).The results demonstrate that RSSO significantly outperforms other optimization algorithms,achieving faster convergence and better solutions.The paper details the RSSO algorithm,discusses its implementation,and presents comparative results that validate its effectiveness in solving complex engineering design challenges.
基金the Science and Technology Innovation 2030-"New Generation Artificial Intelligence"Major Project(No.2018AAA0100901)。
文摘In repeated zero-sum games,instead of constantly playing an equilibrium strategy of the stage game,learning to exploit the opponent given historical interactions could typically obtain a higher utility.However,when playing against a fully adaptive opponent,one would have dificulty identifying the opponent's adaptive dynamics and further exploiting its potential weakness.In this paper,we study the problem of optimizing against the adaptive opponent who uses no-regret learning.No-regret learning is a classic and widely-used branch of adaptive learning algorithms.We propose a general framework for online modeling no-regret opponents and exploiting their weakness.With this framework,one could approximate the opponent's no-regret learning dynamics and then develop a response plan to obtain a significant profit based on the inferences of the opponent's strategies.We employ two system identification architectures,including the recurrent neural network(RNN)and the nonlinear autoregressive exogenous model,and adopt an efficient greedy response plan within the framework.Theoretically,we prove the approximation capability of our RNN architecture at approximating specific no-regret dynamics.Empirically,we demonstrate that during interactions at a low level of non-stationarity,our architectures could approximate the dynamics with a low error,and the derived policies could exploit the no-regret opponent to obtain a decent utility.
基金The authors are grateful for the financial support from the National Natural Science Foundation of China(Grant Nos.52225904 and 52039007)the Natural Science Foundation of Sichuan Province(Grant No.2023NSFSC0377)supported by the New Cornerstone Science Foundation through the XPLORER PRIZE.
文摘Exploring dynamic mechanical responses and failure behaviors of hot dry rock(HDR)is significant for geothermal exploitation and stability assessment.In this study,via the split Hopkinson pressure bar(SHPB)system,a series of dynamic compression tests were conducted on granite treated by cyclic thermal shocks at different temperatures.We analyzed the effects of cyclic thermal shock on the thermal-related physical and dynamic mechanical behaviors of granite.Specifically,the P-wave velocity,dynamic strength,and elastic modulus of the tested granite decrease with increasing temperature and cycle number,while porosity and peak strain increase.The degradation law of dynamic mechanical properties could be described by a cubic polynomial.Cyclic thermal shock promotes shear cracks propagation,causing dynamic failure mode of granite to transition from splitting to tensile-shear composite failure,accompanied by surface spalling and debris splashing.Moreover,the thermal shock damage evolution and coupled failure mechanism of tested granite are discussed.The evolution of thermal shock damage with thermal shock cycle numbers shows an obvious S-shaped surface,featured by an exponential correlation with dynamic mechanical parameters.In addition,with increasing thermal shock temperature and cycles,granite mineral species barely change,but the length and width of thermal cracks increase significantly.The non-uniform expansion of minerals,thermal shock-induced cracking,and water-rock interaction are primary factors for deteriorating dynamic mechanical properties of granite under cyclic thermal shock.
文摘This study employs experimental and analytical methods to quantitatively investigate the nonlinear geomechanical and physicochemical processes of multiphase and high-stress coal-bearing rock masses and non-equilibrium geological materials,as well as their interactions.The research encompasses following aspects,i.e.1)the relationship between volatile matter yield,geological age,and distance from magmatic deposits in Kuzbass coalfield;2)the impact of physicochemical property bifurcations on coal and gas outbursts;3)the variation law of coalbed methane content with burial depth;4)the relaxation energy of gas content;5)the specific surface area of coal;6)the relationship between heat release and deformation waves of Kuzbass coal samples of different orders under uniaxial compression;7)the gas outbursts in different mines in Kuzbass;8)the relationship between seismic energy and gas outburst concentration in coal mines;9)the influence of piston mechanism;10)the connection operation between Langmuir equation and Oparin equation;and 11)the equation of motion for structural media.The research results have created a prerequisite for establishing a unified theory of the interaction between nonlinear geomechanics and physicochemical processes in rock masses,which is of great significance for the safe development and utilization of underground resources.
基金supported by the National Natural Science Foundation of China(Nos.52192625,52174082,and U22A20166)Guangdong Basic and Applied Basic Research Foundation(No.2025B1515020039)+3 种基金National Key Research and Development Program(No.2023YFF0723200)Shenzhen Science and Technology Program(No.RCYX20221008092903013)the Program for Guangdong Introducing Innovative and Entrepreneurial Teams(No.2019ZT08G315)the Natural Science Foundation of Chongqing(No.CSTB2022NSCQ-MSX1593).
文摘The permeability of rocks is of utmost importance in the exploitation of deep geological resources.Current characterizations of rock permeability typically consider the influence of either pores or fractures alone.However,deep reservoir rock formations are subjected to complex environments with coupling of high temperature and stress.As a result,deep reservoir rocks possess a complex structure comprising of pores and fractures,making it challenging to understand their impact on permeability.Comprehending this relationship is vital for the secure and efficient exploitation of deep geological resources.This study presents a permeability calculation model that enables simultaneously quantify the impacts of pore and fracture with full feature size.The model independently considers large-scale fractures’fractal properties and tortuosity while also addressing the distribution and size of small-scale pores.A tortuosity expression that incorporates the effects of thermal damage has been developed using the pore geometric elasticity method.Considering the distinct contributions of pores and fractures to rock permeability,a comprehensive rock permeability calculation model is established.This model has two main strengths:it thoroughly characterizes the influence of pore structures on permeability at multiple scales and precisely details how fractal attributes of fractures affect permeability.To validate the applicability of the model,this study conducted seepage experiments and microscopic observations,capturing the variations in permeability under thermo-mechanical coupling,while quantifying the geometric characteristics and spatial distribution of pores and fractures within the rock.By comparing the measured permeability results,the theoretical values demonstrated a commendable fit.In comparison to previous models,this innovative approach more accurately captures various flow characteristics of the rock under the influence of thermo-mechanical coupling.
文摘This study examined how exploitative leadership undermines employees’experience of flow with work role overload and traditionalist values.Data were collected from 361 staff members across diverse industries in China(females=58.17%,mean age=32.14,SD=5.83).Structural equation modeling results indicated that exploitative leadership reduces employees’work-related flow via increased role overload.Furthermore,employees’traditionality level moderates the exploitative leadership effects on role overload.Specifically,employees with higher traditionality reported lower role overload when experiencing exploitative leadership,suggesting that cultural values may buffer its negative impact.This study contributes to understanding the mechanism and contextual factors linking exploitative leadership to work-related flow,filling a gap in the literature.Organizations are encouraged to reduce exploitative leadership behaviors through leadership development programs and to consider employees’value orientations when designing work environments.
