The Udwadia-Kalaba formulation is proposed to model the dynamics of the rolling wheel. A unified approach that addresses both the slip and the stiction in the contact section is considered. Purely rolling constraints ...The Udwadia-Kalaba formulation is proposed to model the dynamics of the rolling wheel. A unified approach that addresses both the slip and the stiction in the contact section is considered. Purely rolling constraints are associated with stiction and are suitably lifted as slip occurs. An extended formulation for the Uwadia-Kalaba equations of motion is introduced for that matter. It resorts to the weighted minimum norm and the weighted semi-least-squares solutions of the constraints equations. This not only allows a bias on constraints, by an appropriate description of weight functions based on friction, it also leads to a smooth activation or deactivation of selected constraints without rewriting the equations of motion or upsetting their numerical integration.展开更多
The mitochondrial genomes(mitogenomes)are purportedly under selection for smaller size to improve their replica-tion and translation efficiency.However,the mitogenomes of Arcidae species are larger than those of other...The mitochondrial genomes(mitogenomes)are purportedly under selection for smaller size to improve their replica-tion and translation efficiency.However,the mitogenomes of Arcidae species are larger than those of other bivalves,and are among the largest metazoan mitogenomes reported to date.In order to explore the differences of base composition and selective constraints between the large and small mitogenomes,we compared the mitogenomes of 9 large arcid mitogenomes and 77 small bivalves mitogenomes.Base composition analyses indicated that Arcidae mitogenomes have significantly greater GC skews in both their whole genomes and coding sequences.This result suggests that the replication of the large mitogenomes in Arcidae may be slower than those in other bivalves,exposing the parental strand to deamination for a longer time.Selection pressure analyses showed that the mitochondrial protein-coding genes of Arcidae species have significantly higher Ka/Ks ratios than other bivalves,suggesting that they have accumulated more nonsynonymous nucleotide substitutions.Seven protein-coding genes(atp6,cox1-3,nad1,nad4 and nad5)show significant difference for Ka/Ks ratios between the Arcidae and non-Arcidae groups.However,these divergences are not observed in the nuclear gene within histone H3.From these observations,we concluded that the large mitoge-nomes of Arcidae species experienced more relaxed selective constraints.As some Arcidae species are more tolerant to hypoxia that can lead to low metabolic rate,the relaxed selective constraints of mitogenomes may be energy-related.This study provides new insights into the evolution of Arcidae mitogenomes.展开更多
Considering the special features of dynamic environment economic dispatch of power systems with high dimensionality,strong coupling,nonlinearity,and non-convexity,a GA-DE multi-objective optimization algorithm based o...Considering the special features of dynamic environment economic dispatch of power systems with high dimensionality,strong coupling,nonlinearity,and non-convexity,a GA-DE multi-objective optimization algorithm based on dual-population pseudo-parallel genetic algorithm-differential evolution is proposed in this paper.The algorithm is based on external elite archive and Pareto dominance,and it adopts the cooperative co-evolution mechanism of differential evolution and genetic algorithm.Average entropy and cubic chaoticmapping initialization strategies are proposed to increase population diversity.In the proposed method,we analyze the distribution of neighboring solutions and apply a new Pareto solution set pruning approach.Unlike traditional models,this work takes the transmission losses as an optimization target and overcomes complex model constraints through a dynamic relaxation constraint approach.To solve the uncertainty caused by integrating wind and photovoltaic energy in power system scheduling,a multi-objective dynamic environment economical dispatch model is set up that takes the system spinning reserve and network highest losses into account.In this paper,the DE algorithm is improved to form the DGAGE algorithm for the objective optimization of the overall power system,The DE algorithm part of DGAGE is combined with the JAYA algorithm to form the system scheduling HDJ algorithm for multiple energy sources connected to the grid.The effectiveness of the proposed method is demonstrated using CEC2022 and CEC2005 test functions,showing robust optimization performance.Validation on a classical 10-unit system confirms the feasibility of the proposed algorithm in addressing power system scheduling issues.This approach provides a novel solution for dynamic power dispatch systems.展开更多
With the widespread adoption of automated guided vehicle(AGV)systems for material handling in manufacturing plants,it has become practical and crucial to delve into the layout problem associated with AGV systems.In th...With the widespread adoption of automated guided vehicle(AGV)systems for material handling in manufacturing plants,it has become practical and crucial to delve into the layout problem associated with AGV systems.In this work,we focus on a unique layout problem encountered in a hybrid workshop where AGV systems are employed for transporting semiproducts along the manufacturing line.Several distinctive features in this system contribute to the challenge of the problem.Notably,manufacturing occurs in an uncertain environment,and certain manufacturing cells may produce semiproducts that do not meet quality standards,necessitating repair.Additionally,each AGV requires recharging in a designated area within the workshop.Given that the proposed layout problem is NP-hard,we present an intelligence variable neighborhood search heuristic integrated with a constraint relaxation strategy to address its complexity.The numerical results demonstrate the algorithm's ability to generate high-quality solutions within a reasonable timeframe,even for large-scale test instances.The layout solutions obtained through our algorithm outperform those produced by the CPLEX solver and the practical layouts devised by the company.This highlights the efficacy of our approach in tackling the unique challenges posed by the layout problem in a hybrid workshop with an AGV system.展开更多
文摘The Udwadia-Kalaba formulation is proposed to model the dynamics of the rolling wheel. A unified approach that addresses both the slip and the stiction in the contact section is considered. Purely rolling constraints are associated with stiction and are suitably lifted as slip occurs. An extended formulation for the Uwadia-Kalaba equations of motion is introduced for that matter. It resorts to the weighted minimum norm and the weighted semi-least-squares solutions of the constraints equations. This not only allows a bias on constraints, by an appropriate description of weight functions based on friction, it also leads to a smooth activation or deactivation of selected constraints without rewriting the equations of motion or upsetting their numerical integration.
基金This work was supported by research grants from the National Natural Science Foundation of China(No.31772414)the Natural Science Foundation of Qingdao City(No.20-3-4-16-nsh)the Fundamental Research Funds for the Central Universities(No.201964001).
文摘The mitochondrial genomes(mitogenomes)are purportedly under selection for smaller size to improve their replica-tion and translation efficiency.However,the mitogenomes of Arcidae species are larger than those of other bivalves,and are among the largest metazoan mitogenomes reported to date.In order to explore the differences of base composition and selective constraints between the large and small mitogenomes,we compared the mitogenomes of 9 large arcid mitogenomes and 77 small bivalves mitogenomes.Base composition analyses indicated that Arcidae mitogenomes have significantly greater GC skews in both their whole genomes and coding sequences.This result suggests that the replication of the large mitogenomes in Arcidae may be slower than those in other bivalves,exposing the parental strand to deamination for a longer time.Selection pressure analyses showed that the mitochondrial protein-coding genes of Arcidae species have significantly higher Ka/Ks ratios than other bivalves,suggesting that they have accumulated more nonsynonymous nucleotide substitutions.Seven protein-coding genes(atp6,cox1-3,nad1,nad4 and nad5)show significant difference for Ka/Ks ratios between the Arcidae and non-Arcidae groups.However,these divergences are not observed in the nuclear gene within histone H3.From these observations,we concluded that the large mitoge-nomes of Arcidae species experienced more relaxed selective constraints.As some Arcidae species are more tolerant to hypoxia that can lead to low metabolic rate,the relaxed selective constraints of mitogenomes may be energy-related.This study provides new insights into the evolution of Arcidae mitogenomes.
基金funded by the Major Humanities and Social Sciences Research Projects in Zhejiang Higher Education Institutions,grant number 2023QN131National Innovation Training Program Project in China,grant number 202410451009.
文摘Considering the special features of dynamic environment economic dispatch of power systems with high dimensionality,strong coupling,nonlinearity,and non-convexity,a GA-DE multi-objective optimization algorithm based on dual-population pseudo-parallel genetic algorithm-differential evolution is proposed in this paper.The algorithm is based on external elite archive and Pareto dominance,and it adopts the cooperative co-evolution mechanism of differential evolution and genetic algorithm.Average entropy and cubic chaoticmapping initialization strategies are proposed to increase population diversity.In the proposed method,we analyze the distribution of neighboring solutions and apply a new Pareto solution set pruning approach.Unlike traditional models,this work takes the transmission losses as an optimization target and overcomes complex model constraints through a dynamic relaxation constraint approach.To solve the uncertainty caused by integrating wind and photovoltaic energy in power system scheduling,a multi-objective dynamic environment economical dispatch model is set up that takes the system spinning reserve and network highest losses into account.In this paper,the DE algorithm is improved to form the DGAGE algorithm for the objective optimization of the overall power system,The DE algorithm part of DGAGE is combined with the JAYA algorithm to form the system scheduling HDJ algorithm for multiple energy sources connected to the grid.The effectiveness of the proposed method is demonstrated using CEC2022 and CEC2005 test functions,showing robust optimization performance.Validation on a classical 10-unit system confirms the feasibility of the proposed algorithm in addressing power system scheduling issues.This approach provides a novel solution for dynamic power dispatch systems.
文摘With the widespread adoption of automated guided vehicle(AGV)systems for material handling in manufacturing plants,it has become practical and crucial to delve into the layout problem associated with AGV systems.In this work,we focus on a unique layout problem encountered in a hybrid workshop where AGV systems are employed for transporting semiproducts along the manufacturing line.Several distinctive features in this system contribute to the challenge of the problem.Notably,manufacturing occurs in an uncertain environment,and certain manufacturing cells may produce semiproducts that do not meet quality standards,necessitating repair.Additionally,each AGV requires recharging in a designated area within the workshop.Given that the proposed layout problem is NP-hard,we present an intelligence variable neighborhood search heuristic integrated with a constraint relaxation strategy to address its complexity.The numerical results demonstrate the algorithm's ability to generate high-quality solutions within a reasonable timeframe,even for large-scale test instances.The layout solutions obtained through our algorithm outperform those produced by the CPLEX solver and the practical layouts devised by the company.This highlights the efficacy of our approach in tackling the unique challenges posed by the layout problem in a hybrid workshop with an AGV system.
