搜索资源列表
MATLAB
- 遗传算法计算多目标规划问题 使用简单，语言明了-Multi-objective genetic algorithm is planning to use simple, clear language
f1
- 多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual
igainmatlab
- 基于多目标优化的免疫遗传算法 在Matlab环境中的实现,期刊论文。-Multi-objective optimization based on immune genetic algorithm in Matlab environment, the realization of journal articles.
Multiobjectvie-Genetic-Algorithm
- 有关多目标优化问题的遗传算法的基本理论方法的硕士论文，相关领域的大家可以参考一下-Multi-objective optimization problems related to genetic algorithms basic theories and methods of the master' s thesis and related fields that we can reference
epsmoea
- spsmoea是一种基于MOEA的多目标优化遗传算法，对于解决多目标问题收敛性好，确保了其多样性，具有很高的应用价值。-Epsilon-MOEA in C and C++
9
- 给予免疫遗传算法的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 for QOS routing problem, the immune genetic algorithm for multi-objective optimization problem
moea
- matlab遗传算法多目标优化，双目标函数优化-matlab genetic algorithm for multi-objective optimization, dual-objective optimization
Multi-objective_optimization_algorithm
- 基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,多目标优化算法已有的研究大多为 算法的设计和数值实验效果的比较,理论研究则很少,本文作者给出了一种求解多目标优化问题的新遗传算法 (RMOGA) ,并用Markov 链的理论对RMOGA 的收敛性进行了研究,其结果表明RMOGA 依概率收敛到问题的 Pareto 前沿面-Population-based genetic algorithm search for multi-objective optimization probl
MultiobjectivebasedonGA
- 基于遗传算法的多目标优化，matlab开发-Based on genetic algorithm for multi-objective optimization, matlab development
multioptimization
- 用遗传算法研究多目标优化问题的一片文章，内容详细，文章后附有编程代码-Genetic algorithms with multi-objective optimization problems with an article, detailed programming code is attached to the article
GA
- 利用最基本的遗传算法解决多目标函数优化问题-using GA algorithm to solve multiobject optimization
GA
- 遗传算法多目标优化的应用举例，求非线性函数最大值。-Multi-objective optimization genetic algorithm application example, the maximum value of nonlinear function.
ga-funtion-Matlab
- 遗传算法求解函数优化问题的实现，多目标，最优解-Genetic Algorithm for Function Optimization implementation
GAaPSO
- 遗传-粒子群算法 PSO-GA算法 解决多目标优化算法问题，针对最优解求解可得到更好的解，接近最优的目标值。(Genetic algorithm (PSO) PSO-GA algorithm is used to solve the multi-objective optimization problem, and the better solution is obtained for the optimal solution, and the near optimal target valu
MATLAB智能算法(遗传_神经网络_蚁群_免疫)
- 针对matlab中智能算法工具箱求解多目标函数问题是用遗传算法工具箱更加方便的计算多约束优化问题。(Aiming at the problem that multi-objective function is solved by using the intelligent algorithm toolbox in matlab, it is more convenient to calculate multi-constrained optimization problem with genet
nsga_2
- 基于非支配排序遗传算法处理多目标优化的matlab例程(A matlab routine for multiobjective optimization based on nondominated sorting genetic algorithm)
chapter7多种群遗传算法的函数优化算法
- 用遗传算法去优化多种群问题，寻求目标的最优解(The genetic algorithm is used to optimize the multi-population problem and seek the optimal solution)
遗传算法求解
- 多个设计参数下以两目标函数采用遗传算法优化进行择优(Multi parameter, two objective function, genetic algorithm, optimization)
nsga2code
- 实现多目标优化，遗传算法，将种群全体按子目标函数的数目等分为子群体，对每一个子群体分配一个目标函数，进行择优选择，各自选择出适应度高的个体组成一个新的子群体，然后将所有这些子群体合并成一个完整的群体，在这个群体里进行交叉变异操作，生成下一代完整群体，如此循环，最终生成Pareto最优解(Achieve multi-objective optimization)
chapter9基于遗传算法的多目标优化算法
- 遗传算法的MATLAB编程，MATLAB源程序(Genetic algorithm MATLAB programming, MATLAB source code)