搜索资源列表
GA_duomubiao
- matlab编写的遗传算法程序。实现多目标规划求解。
ga
- 基于遗传算法的，可以用来求解多目标优化的程序源码-Based on genetic algorithms can be used to solve multi-objective optimization procedure source
paretofront
- pareto front multi objective optimization
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
MOGASC
- 用Matlab实现多目标遗传算法的源代码-Multi-objective genetic algorithm source code
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
NSGA2
- 包含多目标遗传算法于深入了解NSGA及NAGA2算法有一定帮助-Includes multi-objective genetic algorithm NSGA and NAGA2 in-depth understanding of a certain algorithm to help
multi-objective-function-
- 多目标规划的遗传算法程序 用matlab编程语言编写-Planning of multi-objective genetic algorithm program written in Matlab programming language
1452
- matlab遗传算法求解多目标问题，flowshop调度问题-matlab genetic algorithm for multi-objective problems, flowshop scheduling problem
duomubiaosuanfa
- 多目标遗传算法实现代码，基于matlab-Multi-objective genetic algorithm code, based on matlab
yichuansuanfa
- 用于解决多目标优化问题的遗传算法MATLAB源程序-Used to solve the problem of multi-objective optimization genetic algorithm MATLAB source
yichuansuanfa
- matlab遗传算法 计算电力系统目标优化程序 基于遗传算法解决多目标问题-power system
multiGA
- 多目标遗传算法matlab,用得是matlab的工具箱。-multiGA matlab
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)
multiobjectiveoptimization
- 遗传算法代码， 由 matalb编写 多目标优化遗传算法求解(Genetic algorithm code, written by MATALB. Multi-objective optimization genetic algorithm)
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)
遗传算法实例
- Matlab遗传算法实例，可实现一元多峰函数优化、多元单峰函数优化、多元多峰函数优化，多目标优化(Example of Matlab genetic algorithm. It can realize one variable multimodal function optimization, multiple variable function optimization, multivariate multimodal function optimization, multi-objectiv
BAS代码
- 天牛须搜索( beetle antennae search，BAS) 算法是2017 年提出的一种基于天牛觅食原理的适用于多目标函数优化的新技术，其生物原理为: 当天牛觅食时，其并不知道食物在哪里，而是根据食物气味的强弱来觅食。天牛有两只长触角，如果左边触角收到的气味强度比右边大，那下一步天牛就会向左边飞，反之则向右飞。依据这一简单原理天牛就可以有效找到食物。与遗传算法、粒子群算法等类似，BAS 不需要知道函数的具体形式以及梯度信息，就可以自动实现寻优过程，且其个体仅为一个，寻优速度显著提高。(
NSGA-II多目标优化算法matlab程序
- 遗传算法程序NSGA2，关于移动机器人路径规划。(Matlab program of path planning based on NSGA2 genetic algorithm)