搜索资源列表
演示多目标perota优化问题
- %% 该函数演示多目标perota优化问题
optimization_cases_using_GA
- 运用遗传算法进行多元多峰函数优化，多目标问题优化！有案例！可以运行！-using Genetic Algorithm to test multi-peak function and multi-objective function.
PSO_solution_to_economic_dispatch
- 利用PSO算法解决经济批量分发问题的matlab源代码，求解多目标函数与成本最小值。-Use PSO algorithm to solve economic volume distribution of the matlab source code for solving multi-objective cost function and the minimum value.
mutipleobjectpso
- pso解决两目标函数极值问题，适合初学多目标的同学-Pso solve two goals for beginners, the function extreme problem multi-objective classmates
power-system-problem-based-on-PSO
- 利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
MOEAD
- 基于微分的多目标优化问题，以子函数的形式写出的-Based on the differential of the multi-objective optimization problem in order to write the form of Functions
multi-ctp1
- 一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。-A comparison based on the threshold criteria for the particle to handle multi-objective
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
MOPSO-master
- 基于多目标粒子群优化算法 仿真程序 给出了三个cost函数，也可自己编写(pso path planning mobile robot)
chapter10基于粒子群算法的多目标搜索算法
- 基于粒子群的算法的多目标搜索算法，实现多目标函数的最优(A multi-objective search algorithm based on particle swarm algorithm is used to achieve the optimal multi-objective function)
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)
多目标优化进化算法
- 按照外文经典文献的步骤和流程，在matlab环境下编写了多目标优化进化算法程序。在外文经典文献中，有该算法的子函数开源代码，程序运行速度快、精度高。文件由主程序和子函数构成，共7个.m文件。(According to the steps and process of foreign literature, a multi-objective optimization evolutionary algorithm program is written in Matlab environment.
基于matlab多种群粒子群算法求解多目标优化问题
- 本代码主要是matlab源代码，介绍了一种通多种群粒子群算法求解多目标优化问题，这是本人毕业设计的内容，源代码附有相关说明，且运行没有问题，大家可以参考(This code is mainly matlab source code, introduced a variety of particle swarm optimization algorithm to solve multi-objective optimization problem, this is my graduation pr
moead-java-source
- java文件的多目标优化算法，代码函数已经封装，可以在java平台跑通(Java file multi-objective optimization algorithm, the code function has been encapsulated, can run on the Java platform)
改进nsga2多目标优化
- 通过gamultiobj函数，实现基于nsga2的改进优化算法(An improved optimization algorithm based on NSGA2 is implemented by gamultiobj function)
多目标粒子群算法
- 利用粒子群算法求解函数的极值，用于多目标模型优化(Solving the extreme value of a function using particle swarm optimization algorithm for multi-objective model optimization)
用遗传算法求解多目标函数优化
- 多目标函数，在多个约束条件的情况下用遗传算法找出最优解(Multi-objective function, using genetic algorithms to find the optimal solution under multiple constraints)
NSGA-II-Matlab-master
- 针对带有约束条件的多目标函数，进行多目标参数优化(For the multi-objective function with constraints, the optimization is carried out)