搜索资源列表
CHAPTER5
- 遗传算法是一种模拟生物进化机制的随机全局优化搜索方法，具有很强的全局优化能力及鲁棒性。遗传算法属于直接搜索法，对适应函数基本无限制，既不要求连续，也不要求函数可微，而且不需要初始信息可以寻求全局最优解克服了单纯形算法初始条件影响大，易陷入局部最小等缺点，操作方便，速度快，不需要复杂的规则，且可用于多目标寻优，在解空间进行高效启发式搜索，可以提高运算速度。-The genetic algorithm is one simulation organic evolution mechanism sto
GA
- 用简单的遗传算法求解多极值函数全局最优解问题，对于不同函数通过修改目标函数即可得到-Solving multi-extremal function by simple genetic algorithm to get the optimal solution. By modifying the objective function different problems can be solved
GA
- 基于免疫遗传算法的QOS路由选择问题 给予免疫遗传算法的多目标优化问题 -Immune genetic algorithm based QOS routing problems provide the immune genetic algorithm for multi objective optimization problem
nsga2
- 基于NSGA-Ⅱ算法的区域覆盖卫星星座优化将一种基于Pareto最优概念的快速非支配排序遗传算法(NSGA-Ⅱ)引入区域覆盖侦察卫星星座的多目标优化设计-Algorithm based on NSGA-Ⅱ regional coverage satellite constellation will be based on the concept of Pareto optimal fast non-dominated sorting genetic algorithm (NSGA-Ⅱ) the
GeneticAlgorithmsandFuzzyMultiobjectiveOptimizatio
- 遗传算法与模糊多目标优化经典电子书。是英文版的。是从事多目标优化的必备书-Genetic Algorithms and Fuzzy Multiobjective Optimization classic books. Is the English version. Multi-objective optimization is essential in the book
Multi-objective-optimization-GA
- 基于多目标优化遗传算法的用于电火花机床参数优化的matla程序源代码。-Multi-objective optimization genetic algorithm (for edm parameters optimization)
GA
- 遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas
based-on-GA-solve--VRP
- 求解多目标车辆路径问题的遗传算法的小文章-based on GA solve the mutil-objects problem with the help of time window
BP-based-on-genetic
- 基于遗传算法的BP神经网络在多目标优化中的应用研究-BP based on genetic algorithm neural network in multi-objective optimization of
geneticalgorithmwith
- 遗传算法的程序，可用于离散变量优化，多目标优化等许多领域.-the procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas .
multiobjectiveoptimization
- 主要是用一个简单函数的多目标的求解举例，说明用遗传算法求解多目标问题-solving multi-objective problems via genetic algorithm
GA-paper
- 这是一篇硕士论文,题目是多目标优化的遗传算法研究-This is a master' s thesis topic is a multi-objective optimization by genetic algorithm
GA-MIMO
- 基于遗传非常简单实用。算法的多目标优化方案, 用matlab程序编写,-Multi-objective genetic algorithm-based optimization scheme is very simple and practical. Programming with matlab
yichuansuanfa
- 本程序旨在于解决用遗传算法解决多目标优化问题，同时加深对简单遗传算法的了解并进一步理解-The program aims to use genetic algorithm to solve multi-objective optimization problems, while deepening the understanding of the simple genetic algorithm and further understanding of
relixue
- 传算法是一种基于生物进化原理的启发式并行搜索和优化技术，常被用于优化计算。该文针对经典遗传算法在多目标优化计算中存在的不足，结合热力学中熵的概念，利用约束交叉、适应度共享技术来进行多目标函数的优化计算。实验结果显示这种改进型遗传算法能得到一个较好的Ｐａｒｅｔｏ优集。 -Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimiza
multiple-objective-decision
- 讨论了多模式、多资源约束条件下，如何综合考虑工期、成本和资源平衡三个目标这一问题，提出了该问题的模型，并给出了利用遗传算法来解决该问题模型，最后结合一个应用实例来说明模型及算法。-Discussed the multi-mode, multi-resource constraints, how considering duration, cost and resource balance three goals of this problem, a model of the problem, a
mo-nsga-deb
- 改进的非支配排序遗传算法，求解多目标问题-non dominated sorted algorithm II for multiple objective problem
CEC2002Multiobjective
- 多目标问题的微遗传算法， ANSI C++ -Micro Genetic Algorithm for Multiobjective Optimization
test-function
- 多目标优化遗传算法有效地避免了收敛速度慢和封闭竞争等问题， Pareto前沿更加接近理想前沿，并且收敛速度都非常快-Multi-objective optimization genetic algorithm is effective to avoid the slow convergence rate and close competition and other issues, leading Pareto closer to the ideal cutting edge, and the