Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a...Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications,but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms.Covering six strategic areas,which include Data Mining,Machine Learning,Engineering Design,Energy Systems,Healthcare,and Robotics,the study demonstrates the versatility and effectiveness of the PSO.Experimental results are,however,used to show the strong and weak parts of PSO,and performance results are included in tables for ease of comparison.The results stress PSO’s efficiency in providing optimal solutions but also show that there are aspects that need to be improved through combination with algorithms or tuning to the parameters of the method.The review of the advantages and limitations of PSO is intended to provide academics and practitioners with a well-rounded view of the methods of employing such a tool most effectively and to encourage optimized designs of PSO in solving theoretical and practical problems in the future.展开更多
Virtualization is an indispensable part of the cloud for the objective of deploying different virtual servers over the same physical layer.However,the increase in the number of applications executing on the repositori...Virtualization is an indispensable part of the cloud for the objective of deploying different virtual servers over the same physical layer.However,the increase in the number of applications executing on the repositories results in increased overload due to the adoption of cloud services.Moreover,the migration of applications on the cloud with optimized resource allocation is a herculean task even though it is employed for minimizing the dilemma of allocating resources.In this paper,a Fire Hawk Optimization enabled Deep Learning Scheme(FHOEDLS)is proposed for minimizing the overload and optimizing the resource allocation on the hybrid cloud container architecture for migrating interoperability based applications This FHOEDLS achieves the load prediction through the utilization of deep CNN-GRU-AM model for attaining resource allocation and better migration of applications.It specifically adopted the Fire Hawk Optimization Algorithm(FHOA)for optimizing the parameters that influence the factors that aid in better interoperable application migration with improved resource allocation and minimized overhead.It considered the factors of resource capacity,transmission cost,demand,and predicted load into account during the formulation of the objective function utilized for resource allocation and application migration.The cloud simulation of this FHOEDLS is achieved using a container,Virtual Machine(VM),and Physical Machine(PM).The results of this proposed FHOEDLS confirmed a better resource capability of 0.418 and a minimized load of 0.0061.展开更多
This study was conducted to select new strawberry cultivars with early maturity, disease resistance and high quality, by optimizing the hybrid combinations of Benihoppe, a Japanese strawberry cultivar, which is extens...This study was conducted to select new strawberry cultivars with early maturity, disease resistance and high quality, by optimizing the hybrid combinations of Benihoppe, a Japanese strawberry cultivar, which is extensively planted but not resistant to anthrax. The reciprocal crosses were performed using Benihoppe, as the female parent, four disease-resistant European cultivars Albion, Camino Real, Ven- tana and Virginia, and one Japanese cultivar Meiho as the male parent. Then, the seedling propagation coefficient, disease resistance, fruit quality and yield of F1 gen- eration of the combinations were detected and compared. Besides, the breeding and traits of a new cultivar F1-40 developed from the cross between Benihoppe and Mei- ho were introduced as an instance to prove the feasibility of the combinations/lines.展开更多
As Internet of Things(IoT)applications expand,Mobile Edge Computing(MEC)has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices.Edge-side computation offloading plays...As Internet of Things(IoT)applications expand,Mobile Edge Computing(MEC)has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices.Edge-side computation offloading plays a pivotal role in MEC performance but remains challenging due to complex task topologies,conflicting objectives,and limited resources.This paper addresses high-dimensional multi-objective offloading for serial heterogeneous tasks in MEC.We jointly consider task heterogeneity,high-dimensional objectives,and flexible resource scheduling,modeling the problem as a Many-objective optimization.To solve it,we propose a flexible framework integrating an improved cooperative co-evolutionary algorithm based on decomposition(MOCC/D)and a flexible scheduling strategy.Experimental results on benchmark functions and simulation scenarios show that the proposed method outperforms existing approaches in both convergence and solution quality.展开更多
For sludge samples from EBPR reactor fed with municipal wastewater,fluorescent in situ hybridization (FISH) operation process including moisture chamber,pretreatment,treatment with lysozyme and Proteinase K and washin...For sludge samples from EBPR reactor fed with municipal wastewater,fluorescent in situ hybridization (FISH) operation process including moisture chamber,pretreatment,treatment with lysozyme and Proteinase K and washing time was optimized and improved.Preserving box was chosen to be moisture chamber due to its bigger depth /radii ratio,good sealability and big volume contrast with Petri dish.3-5 mm diameter glass balls could disperse samples without destroying microorganism cells and community structure.Impurities and ECPs could be removed easily and sludge samples became thinner after dispersing which benefit the observation.Permeabilized cells with lysozyme and Proteinase K could enhance probe penetration before hybridization.Experiments of different treatment time with lysozyme and Proteinase K were carried out.Best results were observed when sludge samples treated with lysozyme 10 min/Proteinase K 20 min or lysozyme 20 min/Proteinase K 10 min.Slides were washed at 48 ℃ for 10,20,30,40 and 60 min in parallel.The best washing time was 20 min when washing temperature was 48 ℃.Fluorescent dye could residue when washing time was 10 min and washing out happened when washed for 30 min or more.展开更多
During the last few years we have witnessed impressive developments in the area of stochastic local search techniques for intelligent optimization and Reactive Search Optimization. In order to handle the complexity, i...During the last few years we have witnessed impressive developments in the area of stochastic local search techniques for intelligent optimization and Reactive Search Optimization. In order to handle the complexity, in the framework of stochastic local search optimization, learning and optimization has been deeply interconnected through interaction with the decision maker via the visualization approach of the online graphs. Consequently a number of complex optimization problems, in particular multiobjective optimization problems, arising in widely different contexts have been effectively treated within the general framework of RSO. In solving real-life multiobjective optimization problems often most emphasis are spent on finding the complete Pareto-optimal set and less on decision-making. However the com-plete task of multiobjective optimization is considered as a combined task of optimization and decision-making. In this paper, we suggest an interactive procedure which will involve the decision-maker in the optimization process helping to choose a single solution at the end. Our proposed method works on the basis of Reactive Search Optimization (RSO) algorithms and available software architecture packages. The procedure is further compared with the excising novel method of Interactive Multiobjective Optimization and Decision-Making, using Evolutionary method (I-MODE). In order to evaluate the effectiveness of both methods the well-known study case of welded beam design problem is reconsidered.展开更多
In this paper, based on existing results, decision making about portfolio investment schemes is discussed, ordering method of fuzzy numbers of interval value is shown, corresponding auxiliary models are established an...In this paper, based on existing results, decision making about portfolio investment schemes is discussed, ordering method of fuzzy numbers of interval value is shown, corresponding auxiliary models are established and solutions are provided with theories of fuzzy mathematics, optimization theory and numerical calculation, etc. Then it applies software programming to solve the portfolio investment situation between investors in savings and four securities according to the established models. The result shows that investors can choose the risk coefficient that they can bear to reach the maximum value of expected returns. The greater the risk coefficient, the greater the income, the smaller the risk coefficient and the smaller the income. Investors can determine their own portfolio strategy according to their own conditions in order to meet their own interests.展开更多
Lithium argyrodite electrolytes (Li_(6)PS_(5)X (X=Cl, Br, I))have received tremendous attention due to their low cost and high conductivity among sulfide electrolytes. However,the synthesis details and application of ...Lithium argyrodite electrolytes (Li_(6)PS_(5)X (X=Cl, Br, I))have received tremendous attention due to their low cost and high conductivity among sulfide electrolytes. However,the synthesis details and application of Li_(6)PS_(5)I in solidstate batteries have not been fully investigated yet. Here.展开更多
In this study, three methods such as CTAB,SDS and Shanlichun methods were used to extract genomic DNA from the seedling of rape to find the best method. The principle, characters and application of SRAP were introduce...In this study, three methods such as CTAB,SDS and Shanlichun methods were used to extract genomic DNA from the seedling of rape to find the best method. The principle, characters and application of SRAP were introduced. In order to obtain the optimal SRAP reaction system, the factors including concentrations of DNA, dNTP, etc. of reaction system were modified to better the system of rape. Th9 result showed that the optimum concentrations were 15ng DNA template, 0.2mM dNTP, 1.0μM primer and 2.0U Taq enzyme in this 25μL SRAP-PCR system.展开更多
Thin films of cadmium sulphide and cadmium telluride have been prepared by thermal evaporation under various conditions of deposition. These films have been characterized optically. electrically and for structure dete...Thin films of cadmium sulphide and cadmium telluride have been prepared by thermal evaporation under various conditions of deposition. These films have been characterized optically. electrically and for structure determination. The results of these characterizations along with the initial results of all thin film CdS/CdTe solar cells are presented in this paper展开更多
In this paper, we conduct research on the golden thoughts and topology optimization and the applications on the environment space design. Environmental art and a science and art, is to create lasting and harmonious an...In this paper, we conduct research on the golden thoughts and topology optimization and the applications on the environment space design. Environmental art and a science and art, is to create lasting and harmonious and the urban design, architectural design, murals, such as urban planning belong to the scope of environmental art and the people’s life, work, production and leisure are closely linked, along with people living standard and the improvement of living level, people have higher request for all kinds of the environmental quality. Our research combines the general principles of the related theories to propose the novel perspective that is innovative.展开更多
The current status of university computer teaching, taking fully into account the differences between students, competency-based education philosophy as a guide, this paper discusses the application of modular and hie...The current status of university computer teaching, taking fully into account the differences between students, competency-based education philosophy as a guide, this paper discusses the application of modular and hierarchical optimization problems in teaching computer courses in colleges and universities, and in-depth analyzes the basic content and implementation strategies of module level teaching.展开更多
With the improvement of China's urbanization development level, large cities continue to add high-rise buildings, which can alleviate the problem of land shortage in large cities. The structural design of high-ris...With the improvement of China's urbanization development level, large cities continue to add high-rise buildings, which can alleviate the problem of land shortage in large cities. The structural design of high-rise buildings has always been the focus of attention in this field. If it is not handled properly, it may affect the structural stability and even cause serious problems. In order to promote the design of high-rise building structure more scientific, this paper deeply studies the common problems in its design process, and gives appropriate solutions, hoping to provide some reference value for improving the quality of high-rise building structure design.展开更多
The so-called construction scheme optimization is to adjust the original good construction scheme, such as eliminating hidden dangers, simplifying the structure, reducing the cost, etc., thus simplifying the original ...The so-called construction scheme optimization is to adjust the original good construction scheme, such as eliminating hidden dangers, simplifying the structure, reducing the cost, etc., thus simplifying the original scheme and reducing the construction cost. Because the construction plan is different, the construction period will be different and the machines and tools required will be different, thus the expenses incurred will also be different. Therefore, the on-site technical engineer should put forward a technically advanced, technically reasonable and organizationally capable construction plan based on the contract period, taking into account factors such as the scale, nature, complexity, site conditions, equipment conditions and personnel quality of the project, and strive to reduce the project cost. In this paper, from the aspects of the determination of construction methods, the selection of construction machines and tools, the arrangement of construction sequence and the organization and arrangement of construction, the application of the optimization method of construction scheme in the cost management of engineering projects, such as the formulation of advanced, economical and reasonable construction scheme, the rational selection of machinery and the full play of the efficiency of machinery, is analyzed, and the importance of construction scheme in the cost management of projects is expounded.展开更多
In recent years, with the improvement of the living standard of the Chinese people, we have put forward higher requirements for all aspects of residential construction. HVAC engineering, as an important component of a...In recent years, with the improvement of the living standard of the Chinese people, we have put forward higher requirements for all aspects of residential construction. HVAC engineering, as an important component of architecture, affects not only the comfort of houses but also the quality of our lives. Therefore, people must pay more attention to the design of HVAC engineering and give full consideration to heating, indoor air circulation and service life. As BIM technology plays a key role in HVAC engineering design and can greatly improve the scientific engineering design, BIM technology needs to be applied to heating and cooling resistance thermal engineering design, drawing, scheme aided design, computer aided design and other activities.展开更多
Intelligent optimization algorithm belongs to a kind of emerging technology,show good characteristics,such as high performance,applicability,its algorithm includes many contents,including genetic,particle swarm and ar...Intelligent optimization algorithm belongs to a kind of emerging technology,show good characteristics,such as high performance,applicability,its algorithm includes many contents,including genetic,particle swarm and artificial neural network algorithm,compared with the traditional optimization way,these algorithms can be applied to a variety of situations,meet the demand of solution,in the mechanical design industry has wide application prospects.This paper analyzes the application of the algorithm in mechanical design and the comparison of the results to verify the significance of the intelligent optimization algorithm in mechanical design.展开更多
With the continuous development of social economy, in the process of building structure design, the design unit should not only consider the practicability and safety of the building, but also improve the aesthetics a...With the continuous development of social economy, in the process of building structure design, the design unit should not only consider the practicability and safety of the building, but also improve the aesthetics and economy of the building. This is why designers must ensure the safety, functionality, aesthetics and cost-effectiveness of the building when designing the building, and also consider the convenience of the building. Therefore, architectural design units must optimize the design. Only in this way can the various functions of architecture be unified and promote the stable development of China's construction industry. On this basis, the application of design optimization method in architectural structure design is analyzed and discussed. The rapid development of social economy has also improved people's quality of life. In this context, there are more stringent requirements for life and environment. In the process of architectural design, designers must actively use the construction method of architectural optimization, so that the comfort of the house can not only be improved, but also fully meet people's living needs. In addition, using the construction method to optimize the building can also significantly reduce the construction cost without affecting the house performance and quality, which can also greatly improve the economic benefits of engineering companies and promote the better development of China's construction industry.展开更多
This paper examines strategies for optimizing front-end page loading speed in complex Single-Page Applications(SPAs).Through quantitative analysis,it evaluates the effectiveness of various optimization techniques,incl...This paper examines strategies for optimizing front-end page loading speed in complex Single-Page Applications(SPAs).Through quantitative analysis,it evaluates the effectiveness of various optimization techniques,including resource compression,code-splitting,and network caching.Key findings reveal that intelligent resource preloading,adaptive frameworks,and cross-device optimization significantly enhance loading speed and user experience.The study underscores the importance of combining these strategies to address the challenges posed by complex SPAs and achieve robust performance improvements.Additionally,it explores how emerging technologies like machine learning and server-side rendering can further refine optimization practices.展开更多
This paper introduces a video application-aware cross-layer framework for joint performance-energy optimization,considering the scenario of multiple users upstreaming real-time Motion JPEG2000 video streams to the acc...This paper introduces a video application-aware cross-layer framework for joint performance-energy optimization,considering the scenario of multiple users upstreaming real-time Motion JPEG2000 video streams to the access point of a WiFi wireless local area network and extends the PHY-MAC run-time cross-layer scheduling strategy that we introduced in (Mangharam et al., 2005; Pollin et al., 2005) to also consider congested network situations where video packets have to be dropped. We show that an optimal solution at PHY-MAC level can be highly suboptimal at application level, and then show that making the cross-layer framework application-aware through a prioritized dropping policy capitalizing on the inherent scalability of Motion JPEG2000 video streams leads to drastic average video quality improvements and inter-user quality variation reductions of as much as 10 dB PSNR, without affecting the overall energy consumption requirements.展开更多
文摘Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications,but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms.Covering six strategic areas,which include Data Mining,Machine Learning,Engineering Design,Energy Systems,Healthcare,and Robotics,the study demonstrates the versatility and effectiveness of the PSO.Experimental results are,however,used to show the strong and weak parts of PSO,and performance results are included in tables for ease of comparison.The results stress PSO’s efficiency in providing optimal solutions but also show that there are aspects that need to be improved through combination with algorithms or tuning to the parameters of the method.The review of the advantages and limitations of PSO is intended to provide academics and practitioners with a well-rounded view of the methods of employing such a tool most effectively and to encourage optimized designs of PSO in solving theoretical and practical problems in the future.
文摘Virtualization is an indispensable part of the cloud for the objective of deploying different virtual servers over the same physical layer.However,the increase in the number of applications executing on the repositories results in increased overload due to the adoption of cloud services.Moreover,the migration of applications on the cloud with optimized resource allocation is a herculean task even though it is employed for minimizing the dilemma of allocating resources.In this paper,a Fire Hawk Optimization enabled Deep Learning Scheme(FHOEDLS)is proposed for minimizing the overload and optimizing the resource allocation on the hybrid cloud container architecture for migrating interoperability based applications This FHOEDLS achieves the load prediction through the utilization of deep CNN-GRU-AM model for attaining resource allocation and better migration of applications.It specifically adopted the Fire Hawk Optimization Algorithm(FHOA)for optimizing the parameters that influence the factors that aid in better interoperable application migration with improved resource allocation and minimized overhead.It considered the factors of resource capacity,transmission cost,demand,and predicted load into account during the formulation of the objective function utilized for resource allocation and application migration.The cloud simulation of this FHOEDLS is achieved using a container,Virtual Machine(VM),and Physical Machine(PM).The results of this proposed FHOEDLS confirmed a better resource capability of 0.418 and a minimized load of 0.0061.
基金Supported by Fund for Independent Innovation in Agricultural Science and Technology of Jiangsu Province[CX(13)2012]~~
文摘This study was conducted to select new strawberry cultivars with early maturity, disease resistance and high quality, by optimizing the hybrid combinations of Benihoppe, a Japanese strawberry cultivar, which is extensively planted but not resistant to anthrax. The reciprocal crosses were performed using Benihoppe, as the female parent, four disease-resistant European cultivars Albion, Camino Real, Ven- tana and Virginia, and one Japanese cultivar Meiho as the male parent. Then, the seedling propagation coefficient, disease resistance, fruit quality and yield of F1 gen- eration of the combinations were detected and compared. Besides, the breeding and traits of a new cultivar F1-40 developed from the cross between Benihoppe and Mei- ho were introduced as an instance to prove the feasibility of the combinations/lines.
基金supported by Youth Talent Project of Scientific Research Program of Hubei Provincial Department of Education under Grant Q20241809Doctoral Scientific Research Foundation of Hubei University of Automotive Technology under Grant 202404.
文摘As Internet of Things(IoT)applications expand,Mobile Edge Computing(MEC)has emerged as a promising architecture to overcome the real-time processing limitations of mobile devices.Edge-side computation offloading plays a pivotal role in MEC performance but remains challenging due to complex task topologies,conflicting objectives,and limited resources.This paper addresses high-dimensional multi-objective offloading for serial heterogeneous tasks in MEC.We jointly consider task heterogeneity,high-dimensional objectives,and flexible resource scheduling,modeling the problem as a Many-objective optimization.To solve it,we propose a flexible framework integrating an improved cooperative co-evolutionary algorithm based on decomposition(MOCC/D)and a flexible scheduling strategy.Experimental results on benchmark functions and simulation scenarios show that the proposed method outperforms existing approaches in both convergence and solution quality.
基金Sponsored by the National Natural Science Foundation of China (Grant No. 50638020)
文摘For sludge samples from EBPR reactor fed with municipal wastewater,fluorescent in situ hybridization (FISH) operation process including moisture chamber,pretreatment,treatment with lysozyme and Proteinase K and washing time was optimized and improved.Preserving box was chosen to be moisture chamber due to its bigger depth /radii ratio,good sealability and big volume contrast with Petri dish.3-5 mm diameter glass balls could disperse samples without destroying microorganism cells and community structure.Impurities and ECPs could be removed easily and sludge samples became thinner after dispersing which benefit the observation.Permeabilized cells with lysozyme and Proteinase K could enhance probe penetration before hybridization.Experiments of different treatment time with lysozyme and Proteinase K were carried out.Best results were observed when sludge samples treated with lysozyme 10 min/Proteinase K 20 min or lysozyme 20 min/Proteinase K 10 min.Slides were washed at 48 ℃ for 10,20,30,40 and 60 min in parallel.The best washing time was 20 min when washing temperature was 48 ℃.Fluorescent dye could residue when washing time was 10 min and washing out happened when washed for 30 min or more.
文摘During the last few years we have witnessed impressive developments in the area of stochastic local search techniques for intelligent optimization and Reactive Search Optimization. In order to handle the complexity, in the framework of stochastic local search optimization, learning and optimization has been deeply interconnected through interaction with the decision maker via the visualization approach of the online graphs. Consequently a number of complex optimization problems, in particular multiobjective optimization problems, arising in widely different contexts have been effectively treated within the general framework of RSO. In solving real-life multiobjective optimization problems often most emphasis are spent on finding the complete Pareto-optimal set and less on decision-making. However the com-plete task of multiobjective optimization is considered as a combined task of optimization and decision-making. In this paper, we suggest an interactive procedure which will involve the decision-maker in the optimization process helping to choose a single solution at the end. Our proposed method works on the basis of Reactive Search Optimization (RSO) algorithms and available software architecture packages. The procedure is further compared with the excising novel method of Interactive Multiobjective Optimization and Decision-Making, using Evolutionary method (I-MODE). In order to evaluate the effectiveness of both methods the well-known study case of welded beam design problem is reconsidered.
文摘In this paper, based on existing results, decision making about portfolio investment schemes is discussed, ordering method of fuzzy numbers of interval value is shown, corresponding auxiliary models are established and solutions are provided with theories of fuzzy mathematics, optimization theory and numerical calculation, etc. Then it applies software programming to solve the portfolio investment situation between investors in savings and four securities according to the established models. The result shows that investors can choose the risk coefficient that they can bear to reach the maximum value of expected returns. The greater the risk coefficient, the greater the income, the smaller the risk coefficient and the smaller the income. Investors can determine their own portfolio strategy according to their own conditions in order to meet their own interests.
基金financially supported by the National Natural Science Foundation of China (Nos. 51821005, U1966214 and 51902116)the Certificate of China Postdoctoral Science Foundation Grant (No. 2019M652634)。
文摘Lithium argyrodite electrolytes (Li_(6)PS_(5)X (X=Cl, Br, I))have received tremendous attention due to their low cost and high conductivity among sulfide electrolytes. However,the synthesis details and application of Li_(6)PS_(5)I in solidstate batteries have not been fully investigated yet. Here.
文摘In this study, three methods such as CTAB,SDS and Shanlichun methods were used to extract genomic DNA from the seedling of rape to find the best method. The principle, characters and application of SRAP were introduced. In order to obtain the optimal SRAP reaction system, the factors including concentrations of DNA, dNTP, etc. of reaction system were modified to better the system of rape. Th9 result showed that the optimum concentrations were 15ng DNA template, 0.2mM dNTP, 1.0μM primer and 2.0U Taq enzyme in this 25μL SRAP-PCR system.
文摘Thin films of cadmium sulphide and cadmium telluride have been prepared by thermal evaporation under various conditions of deposition. These films have been characterized optically. electrically and for structure determination. The results of these characterizations along with the initial results of all thin film CdS/CdTe solar cells are presented in this paper
文摘In this paper, we conduct research on the golden thoughts and topology optimization and the applications on the environment space design. Environmental art and a science and art, is to create lasting and harmonious and the urban design, architectural design, murals, such as urban planning belong to the scope of environmental art and the people’s life, work, production and leisure are closely linked, along with people living standard and the improvement of living level, people have higher request for all kinds of the environmental quality. Our research combines the general principles of the related theories to propose the novel perspective that is innovative.
文摘The current status of university computer teaching, taking fully into account the differences between students, competency-based education philosophy as a guide, this paper discusses the application of modular and hierarchical optimization problems in teaching computer courses in colleges and universities, and in-depth analyzes the basic content and implementation strategies of module level teaching.
文摘With the improvement of China's urbanization development level, large cities continue to add high-rise buildings, which can alleviate the problem of land shortage in large cities. The structural design of high-rise buildings has always been the focus of attention in this field. If it is not handled properly, it may affect the structural stability and even cause serious problems. In order to promote the design of high-rise building structure more scientific, this paper deeply studies the common problems in its design process, and gives appropriate solutions, hoping to provide some reference value for improving the quality of high-rise building structure design.
文摘The so-called construction scheme optimization is to adjust the original good construction scheme, such as eliminating hidden dangers, simplifying the structure, reducing the cost, etc., thus simplifying the original scheme and reducing the construction cost. Because the construction plan is different, the construction period will be different and the machines and tools required will be different, thus the expenses incurred will also be different. Therefore, the on-site technical engineer should put forward a technically advanced, technically reasonable and organizationally capable construction plan based on the contract period, taking into account factors such as the scale, nature, complexity, site conditions, equipment conditions and personnel quality of the project, and strive to reduce the project cost. In this paper, from the aspects of the determination of construction methods, the selection of construction machines and tools, the arrangement of construction sequence and the organization and arrangement of construction, the application of the optimization method of construction scheme in the cost management of engineering projects, such as the formulation of advanced, economical and reasonable construction scheme, the rational selection of machinery and the full play of the efficiency of machinery, is analyzed, and the importance of construction scheme in the cost management of projects is expounded.
文摘In recent years, with the improvement of the living standard of the Chinese people, we have put forward higher requirements for all aspects of residential construction. HVAC engineering, as an important component of architecture, affects not only the comfort of houses but also the quality of our lives. Therefore, people must pay more attention to the design of HVAC engineering and give full consideration to heating, indoor air circulation and service life. As BIM technology plays a key role in HVAC engineering design and can greatly improve the scientific engineering design, BIM technology needs to be applied to heating and cooling resistance thermal engineering design, drawing, scheme aided design, computer aided design and other activities.
文摘Intelligent optimization algorithm belongs to a kind of emerging technology,show good characteristics,such as high performance,applicability,its algorithm includes many contents,including genetic,particle swarm and artificial neural network algorithm,compared with the traditional optimization way,these algorithms can be applied to a variety of situations,meet the demand of solution,in the mechanical design industry has wide application prospects.This paper analyzes the application of the algorithm in mechanical design and the comparison of the results to verify the significance of the intelligent optimization algorithm in mechanical design.
文摘With the continuous development of social economy, in the process of building structure design, the design unit should not only consider the practicability and safety of the building, but also improve the aesthetics and economy of the building. This is why designers must ensure the safety, functionality, aesthetics and cost-effectiveness of the building when designing the building, and also consider the convenience of the building. Therefore, architectural design units must optimize the design. Only in this way can the various functions of architecture be unified and promote the stable development of China's construction industry. On this basis, the application of design optimization method in architectural structure design is analyzed and discussed. The rapid development of social economy has also improved people's quality of life. In this context, there are more stringent requirements for life and environment. In the process of architectural design, designers must actively use the construction method of architectural optimization, so that the comfort of the house can not only be improved, but also fully meet people's living needs. In addition, using the construction method to optimize the building can also significantly reduce the construction cost without affecting the house performance and quality, which can also greatly improve the economic benefits of engineering companies and promote the better development of China's construction industry.
文摘This paper examines strategies for optimizing front-end page loading speed in complex Single-Page Applications(SPAs).Through quantitative analysis,it evaluates the effectiveness of various optimization techniques,including resource compression,code-splitting,and network caching.Key findings reveal that intelligent resource preloading,adaptive frameworks,and cross-device optimization significantly enhance loading speed and user experience.The study underscores the importance of combining these strategies to address the challenges posed by complex SPAs and achieve robust performance improvements.Additionally,it explores how emerging technologies like machine learning and server-side rendering can further refine optimization practices.
文摘This paper introduces a video application-aware cross-layer framework for joint performance-energy optimization,considering the scenario of multiple users upstreaming real-time Motion JPEG2000 video streams to the access point of a WiFi wireless local area network and extends the PHY-MAC run-time cross-layer scheduling strategy that we introduced in (Mangharam et al., 2005; Pollin et al., 2005) to also consider congested network situations where video packets have to be dropped. We show that an optimal solution at PHY-MAC level can be highly suboptimal at application level, and then show that making the cross-layer framework application-aware through a prioritized dropping policy capitalizing on the inherent scalability of Motion JPEG2000 video streams leads to drastic average video quality improvements and inter-user quality variation reductions of as much as 10 dB PSNR, without affecting the overall energy consumption requirements.
