evolutionary algorithms

美 [ˌiːvəˈluːʃəneri ˈælgəˌrɪðəmz]英 [ˌiːvəˈluːʃənri ˈælgərɪðmz]
  • 网络进化算法;演化算法;遗传算法;进化计算
evolutionary algorithmsevolutionary algorithms
  1. Cylinder Helical Spring Conceptual Design Based on Multi-Objective Evolutionary Algorithms

    基于多目标遗传算法的圆柱螺旋压缩弹簧方案设计

  2. Applied Evolutionary Algorithms to Design HFC Passive Coax Networks

    使用遗传算法设计HFC无源分配网络

  3. Design and Analysis of Test Problems for Multi-Objective Evolutionary Algorithms

    多目标进化算法测试问题的设计与分析

  4. A study on Application of evolutionary algorithms to job shop scheduling problems

    进化算法在job-shop调度问题中的应用研究

  5. Research on Parallel Evolutionary Algorithms for Solving Combination Optimization Problem

    组合优化问题的并行演化算法研究

  6. Application of Genetic Evolutionary Algorithms in Economical Time Series Modeling

    遗传进化算法在时间序列建模中的应用

  7. Single - objective and Multi - objective Optimization Evolutionary Algorithms

    单目标、多目标最优化进化算法

  8. Evolutionary algorithms are a class of population based random optimization algorithms .

    演化算法是一类基于群体的随机优化方法。

  9. The hybrid optimization problem is solved using evolutionary algorithms .

    用演化算法来求解联合优化问题。

  10. Different embedded evolutionary algorithms can generate different cultural algorithms .

    由于嵌入的进化算法不同,可产生不同的文化算法。

  11. The experimental results show that the new algorithm has better performance than traditional evolutionary algorithms .

    实验表明,该算法比固定种群规模的经典算法具有更好的性能。

  12. Evolutionary Algorithms for Several Kinds of Difficult Optimization Problems

    求解几类复杂优化问题的进化算法

  13. A new approach is presented to handle constraints optimization using evolutionary algorithms .

    提出了一种求解约束函数优化问题的方法。

  14. The analysis of selection mechanism in evolutionary algorithms

    进化算法的选择机制分析

  15. Research on cultural evolutionary algorithms applied to Flow Shop problem with fuzzy delivery time

    模糊交货期FlowShop调度文化进化算法研究

  16. A method to select excellent individuals in evolutionary algorithms is discussed .

    提出了进化算法中选择优良个体的一种方法&模糊选择法.这种方法通过对个体的适应度进行模糊化处理,实现对优良个体选择。

  17. Research on Fast Evolutionary Algorithms Based on Probabilistic Models

    快速概率分析进化算法及其性能研究

  18. A Study of Goal Programming Based on Multiobjective Evolutionary Algorithms

    基于多目标进化算法的目标规划研究

  19. Model Based on Multi-objective Optimization Evolutionary Algorithms for Synthetic Protection in Protective Engineering

    防护工程综合防护多目标优化的进化算法模型

  20. Flow Shop Scheduling Problems Based on DNA Evolutionary Algorithms

    基于DNA进化算法的FlowShop生产调度问题

  21. Original Solutions for Evolutionary Algorithms to Solve Linear Bounded Optimizing Problems

    线性约束优化问题演化算法求解的初始解集确定

  22. On optimal concept design of naval ship based on multi-objective evolutionary algorithms

    基于多目标进化算法的舰船概念设计方法研究

  23. Research on Hybrid Evolutionary Algorithms for Improving Global Convergence

    一种提高全局收敛效率的混合进化算法研究

  24. Evolutionary Algorithms Based on Two-layer Encoding and its Application to Control Chaos

    基于两层编码的进化算法及其在控制混沌中的应用

  25. Genetic algorithms are a particular class of evolutionary algorithms .

    遗传算法是一类特殊的进化算法。

  26. Research and Application of Evolutionary Algorithms in Molecular Docking

    进化算法在分子对接中的研究与应用

  27. Therefore , Evolutionary Algorithms are very suitable for solving multi objective optimization problems .

    因此,本文在PSO算法基础上对PSO算法处理优化问题的能力及基于PSO算法求解约束优化问题和多目标优化问题进行了深入研究。

  28. Evolutionary algorithms have proved to be powerful in the static optimization field .

    演化算法已在传统的静态优化领域显示了惊人的能力,但非静态优化问题更接近于我们的生活。

  29. Comparison of convergence between evolutionary algorithms and deterministic algorithms for optimal control problem

    进化算法与确定性算法在优化控制问题中的收敛性对比

  30. Analysis and discussion are carried out on the existing multiobjective evolutionary algorithms .

    对已有的多目标进化算法的收敛性及算法性能进行了分析与讨论。