搜索资源列表
DMOEADD_code2009
- 动力学演化算法解决多目标优化问题，采用了与模拟退火算法相结合的准则，理论基础来源于统计力学中的自由能极小化定律。 -Evolutionary Algorithms for Solving Multi-Objective Problems
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++
SPEA2
- SPEA2,是一种多目标优化的算法，求可行解集速度比较快！-SPEA2 for multiobjective optimization method， the strength Pareto evolutionary algorithm2
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
pso
- pso算法，比较好的算法，简单，可以用于多目标优化-pso algorithm, a better algorithm, simple and can be used for multi-objective optimization
dedemov
- 差分进化算法，比较好的算法啊。可用多目标优化-Differential evolution algorithm, a better algorithm ah. Available multi-objective optimization
devec3
- 差分进化算法，可以用于多目标优化，可以分享的啊。-Differential evolution algorithm, can be used for multi-objective optimization, can share the ah.
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
multiobjectoptimization
- 关于多目标优化的几个具体程序，matlab编写，可供初学者学习分享-Several multi-objective optimization on specific procedures, matlab write, for beginners to learn to share
Standard_evolutionary_algorithm_design_and_analysi
- 为了有效检测多目标优化进化算法的性能，从3 个方面进行多目标优化测试问题的设计，即约束条件、最优解分布的均匀性、算 法逼近Pareto 最优前沿的难度，采用NSGA-Ⅱ算法对这些测试问题进行仿真实验，并将算法求得的最优解可视化。结果显示，测试问题能够有效检测算法在上述3 方面的性能。-In order to effectively detect the multi-objective optimization evolutionary algorithm performance, from
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
multiobj
- 一个多目标优化的例子和总结，对刚接触到matlab编程的学员有一点帮助。-Example of a multi-objective optimization and summary of students new to the matlab programming a little help.
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
- 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.
NSGA
- matlab编写的基于粒子群优化算法的多目标优化，可以处理电力系统优化问题-matlab write PSO-based multi-objective optimization, can handle the power system optimization problems
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
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)
多目标遗传算法程序
- 对目标优化，多目标遗传算法（把度目标转化为单目标求解）源程序(Matlab multi-objective genetic optimization algorithm(to convert the degree target to a single target solution) source program)
MOSGA2_3
- 多目标优化排序选择法主程序，算法的多目标程序(Multi objective optimization sorting selection method, the main program, the algorithm of multi-objective program)