文件名称:chapter2-GA-MATLAB
介绍说明－－下载内容均来自于网络，请自行研究使用
《MATLAB智能算法30个案例分析》(史峰等)chapter2 基于遗传算法和非线性规划的函数寻优算法- MATLAB intelligent algorithm 30 case studies (History of the peak, etc.) chapter2 function and genetic algorithm based on nonlinear programming optimization algorithm
(系统自动生成,下载前可以参看下载内容)
下载文件列表
chapter2 基于遗传算法和非线性规划的函数寻优算法\案例1
...............................................\.....\Code.m
...............................................\.....\Cross.m
...............................................\.....\fun.m
...............................................\.....\Genetic.asv
...............................................\.....\Genetic.m
...............................................\.....\Mutation.m
...............................................\.....\Select.m
...............................................\.....\test.m
...............................................\案例1非线性
...............................................\...........\Code.m
...............................................\...........\Cross.m
...............................................\...........\fun.m
...............................................\...........\main.m
...............................................\...........\Mutation.m
...............................................\...........\nonlinear.m
...............................................\...........\Select.m
...............................................\...........\test.m
...............................................\案例2
...............................................\.....\Code.m
...............................................\.....\Cross.m
...............................................\.....\fun.m
...............................................\.....\Genetic.m
...............................................\.....\Mutation.m
...............................................\.....\Select.m
...............................................\.....\test.m
...............................................\案例2非线性
...............................................\...........\Code.m
...............................................\...........\Cross.m
...............................................\...........\fun.m
...............................................\...........\Genetic.asv
...............................................\...........\Genetic.m
...............................................\...........\Mutation.m
...............................................\...........\nonlinear.m
...............................................\...........\Select.m
...............................................\...........\test.m
...............................................\案例3
...............................................\.....\Code.m
...............................................\.....\Cross.m
...............................................\.....\fun.m
...............................................\.....\Genetic.m
...............................................\.....\Mutation.m
...............................................\.....\Select.m
...............................................\.....\test.m
...............................................\案例3非线性
...............................................\...........\Code.m
...............................................\...........\Cross.m
...............................................\...........\fun.m
...............................................\...........\Genetic.m
...............................................\...........\Mutation.m
...............................................\...........\nonlinear.m
...............................................\...........\Select.m
...............................................\...........\test.m