Evolutionary algorithms have been extensively utilized in practical applications.However,manually designed population updating formulas are inherently prone to the subjective influence of the designer.Genetic programm...Evolutionary algorithms have been extensively utilized in practical applications.However,manually designed population updating formulas are inherently prone to the subjective influence of the designer.Genetic programming(GP),characterized by its tree-based solution structure,is a widely adopted technique for optimizing the structure of mathematical models tailored to real-world problems.This paper introduces a GP-based framework(GPEAs)for the autonomous generation of update formulas,aiming to reduce human intervention.Partial modifications to tree-based GP have been instigated,encompassing adjustments to its initialization process and fundamental update operations such as crossover and mutation within the algorithm.By designing suitable function sets and terminal sets tailored to the selected evolutionary algorithm,and ultimately derive an improved update formula.The Cat Swarm Optimization Algorithm(CSO)is chosen as a case study,and the GP-EAs is employed to regenerate the speed update formulas of the CSO.To validate the feasibility of the GP-EAs,the comprehensive performance of the enhanced algorithm(GP-CSO)was evaluated on the CEC2017 benchmark suite.Furthermore,GP-CSO is applied to deduce suitable embedding factors,thereby improving the robustness of the digital watermarking process.The experimental results indicate that the update formulas generated through training with GP-EAs possess excellent performance scalability and practical application proficiency.展开更多
盘活利用闲置宅基地是深入实施乡村振兴战略、促进城乡融合发展的重要手段。文章借助制度分析与发展(Institutional Analysis and Development,IAD)框架,采用混合研究方法,以天津市宅基地制度改革试点区的3个村庄为研究对象,考察闲置宅...盘活利用闲置宅基地是深入实施乡村振兴战略、促进城乡融合发展的重要手段。文章借助制度分析与发展(Institutional Analysis and Development,IAD)框架,采用混合研究方法,以天津市宅基地制度改革试点区的3个村庄为研究对象,考察闲置宅基地盘活利用实践,从外部变量、行动舞台、交互作用及结果等3个方面揭示其盘活利用逻辑并比较其中差异,剖析影响模式选择的关键因素,旨在为不同类型村庄提供适配模式与案例参考。通过IAD框架揭示了闲置宅基地盘活利用的“环境—行动—结果”逻辑链条。基于天津市宅基地制度改革试点区3个村庄的案例比较总结了3种盘活模式的适用范围。研究表明,闲置宅基地盘活利用需“因地制宜、分类施策”,强化盘活主体协同,优化利益分配,以实现土地增效、集体增收与农民增益的共赢目标。展开更多
文摘Evolutionary algorithms have been extensively utilized in practical applications.However,manually designed population updating formulas are inherently prone to the subjective influence of the designer.Genetic programming(GP),characterized by its tree-based solution structure,is a widely adopted technique for optimizing the structure of mathematical models tailored to real-world problems.This paper introduces a GP-based framework(GPEAs)for the autonomous generation of update formulas,aiming to reduce human intervention.Partial modifications to tree-based GP have been instigated,encompassing adjustments to its initialization process and fundamental update operations such as crossover and mutation within the algorithm.By designing suitable function sets and terminal sets tailored to the selected evolutionary algorithm,and ultimately derive an improved update formula.The Cat Swarm Optimization Algorithm(CSO)is chosen as a case study,and the GP-EAs is employed to regenerate the speed update formulas of the CSO.To validate the feasibility of the GP-EAs,the comprehensive performance of the enhanced algorithm(GP-CSO)was evaluated on the CEC2017 benchmark suite.Furthermore,GP-CSO is applied to deduce suitable embedding factors,thereby improving the robustness of the digital watermarking process.The experimental results indicate that the update formulas generated through training with GP-EAs possess excellent performance scalability and practical application proficiency.
文摘盘活利用闲置宅基地是深入实施乡村振兴战略、促进城乡融合发展的重要手段。文章借助制度分析与发展(Institutional Analysis and Development,IAD)框架,采用混合研究方法,以天津市宅基地制度改革试点区的3个村庄为研究对象,考察闲置宅基地盘活利用实践,从外部变量、行动舞台、交互作用及结果等3个方面揭示其盘活利用逻辑并比较其中差异,剖析影响模式选择的关键因素,旨在为不同类型村庄提供适配模式与案例参考。通过IAD框架揭示了闲置宅基地盘活利用的“环境—行动—结果”逻辑链条。基于天津市宅基地制度改革试点区3个村庄的案例比较总结了3种盘活模式的适用范围。研究表明,闲置宅基地盘活利用需“因地制宜、分类施策”,强化盘活主体协同,优化利益分配,以实现土地增效、集体增收与农民增益的共赢目标。
