多峰优化,Multimodal Optimization英语短句,例句大全

多峰优化,Multimodal Optimization
1)Multimodal Optimization多峰优化
1.A new clustering method and its applications on multimodal optimization;一种新的聚类方法及其在多峰优化中的应用
2.The flow of the rapid mechanisms path synthesis method,which is based on artificial immune network algorithms used for clustering and multimodal optimization,is proposed.研究了一种基于人工免疫算法的快速机构轨迹综合方法,分析了直接综合方法和间接综合方法的优缺点,提出了二次分类和二次检索以实现快速机构轨迹综合的新思路;给出了基于人工免疫聚类和多峰优化算法的快速机构轨迹综合算法流程,基于该算法建立了机构轨迹综合原型系统,并通过实例对算法及原型系统的有效性进行了验证,这种快速算法具有求解速度快、简单易实现及解的差异性等特性。
3.The suggested algorithm is proved to be more efficient in solving benchmark multimodal optimization problems than standard fitness sharing genetic algorithm and crowding genetic algorithm.保持遗传算法在演化过程中的种群多样性 ,是将遗传算法成功应用于解决多峰优化问题和多目标优化问题的关键。

英文短句/例句

1.Research on Multimodal Genetic Algorithm and Multi-Objective Evolutionary Algorithm;多峰优化遗传算法及多目标优化进化算法研究
2.Research of Mind Evolutionary Computation Multi-modal Optimization Performance and of Mind Evolutionary computation Parameters Effecting Efficiency;研究思维进化计算的多峰优化性能及研究算法参数对效率的影响
3.Improved Clone Selection Algorithm for Multi-Peak Function Optimization多峰值函数优化的改进克隆选择算法
4.Improved differential evolution strategy optimization algorithm for multiple hump functions改进差分进化策略在多峰值函数优化中的应用
5.Resolving Multi-modal Function Optimization Problem Based on Clonal Selection Principle;基于克隆选择原理求解多峰函数优化问题
6.Elder-keeping Immune Genetic Algorithm for Multimodal Function Optimization多峰值函数优化的父代保留免疫遗传算法
7.An Artificial Immune Algorithm for Multimodal Optimization Based on Niche Techniques小生境人工免疫算法用于多峰函数优化
8.Performance Analysis and Comparison of Algorithms for Optimizing Multiple Hump Function多峰极值优化问题的算法性能分析和比较
9.An Improved Genetic Algorithm of Fast Realization in Multimodal Function Optimizations一种快速实现多峰值函数优化的改进遗传算法
10.Immune particle swarm network algorithm for multimodal function optimization用于多峰函数优化的免疫粒子群网络算法
11.Study on Optimal Control of Hump Pushing Locomotive in Hump Yard;编组站驼峰推峰机车优化控制的研究
12.The Simulation Dynamic Process Assess on Single Dining-room and Optimization Research of Peak-cutting Strategy of Multiple Dining-rooms;单餐厅就餐的仿真动态过程评价及多餐厅削峰策略的优化研究
13.A mixed evolutionary algorithm consisting of global and local search to solve multi-modal function optimization problem;一种求解多峰函数优化问题的全局与局部搜索相结合的演化算法(英文)
14.The Optimization Research of Xifeng Oilfield's Surface Gathering System Scheme;西峰油田地面集输规划方案优化研究
15.Research on Optimization of Production and Operation Management for Chifeng New Thermal Power Plant;赤峰热电新厂生产运作管理优化研究
16.Research on Optimal PTS Algorithms for Reducing the Peak to Average Power Ratio降低峰均比的PTS优化方法的研究
17.Then, analyzed from calculation methods, this model is a type of Knapsack Problem with restrictions between lower-limit and upper-limit, which is a discontinuous and multi-maximum complicated problem.然后从计算方法上，将该贷款组合优化问题归结为一类有上下限的非连续、多峰的特殊背包问题。
18.Research on the plan and optimization of peak shifting and averting based on modified genetic algorithm in the electricity market;电力市场初期供电公司优化错峰避峰计划的研究

相关短句/例句

multiple hump function optimization多峰函数最优化
3)multimodal optimization多峰函数优化
1.Hybrid genetic algorithms, which are based on steepest descent algorithm and genetic algorithm, are investigated for the purpose of multimodal optimization.研究了2种基于最速下降法和遗传算法的求解多峰函数优化问题的混合遗传算法,以Schaffer函数的全局优化问题和收敛概率、平均收敛时间和平均收敛值等评价指标检验了混合算法的性能。
4)multimodal function optimization多峰函数优化
1.Based on the analysis of immune theory and Hopfield neural network(HNN),a new algorithm for multimodal function optimization was proposed.实验表明,该算法是一种有效的求解多峰函数优化问题的方法,与免疫算法相比,搜索效率和精度都较高。
2.The results show that RTEA is efficient in solving low-dimension multimodal function optimization proble.针对求解多峰函数优化问题全局最优解的特殊困难,提出一种区域性两阶段演化算法(RT-EA),详细介绍了该算法的作用机制、算法策略和算子设计,深入分析了该算法具有能避免“早熟”、一次运行可获得全部最优解等特性。
3.This paper presents a genetic algorithm based on sorting in accordance with multimodal function optimization.本文针对多峰函数优化问题 ,提出一种基于排序的遗传算法。
5)Multi-modal function optimization多峰函数优化
1.This paper analyzes the characteristics and deficiencies of traditional niche genetic algorithms for multi-modal function optimization,and propose a niche clonal selection algorithm for multi-modal function optimization by formulating suitable clonal selection operators and introducing a new niching technology,based on clonal selection principle of immune system.文中分析了传统的用于多峰函数优化问题的小生境遗传算法的特点和不足,基于免疫系统中的克隆选择原理,合理地构建了克隆选择算子及引入一种新的小生境技术,提出了一种解决多峰函数优化问题的小生境克隆选择算法。
6)multi correlation peak optimization多相关峰优化