基于头脑风暴优化的多目标优化计算

1.问题描述：

 头脑风暴优化算法是一种模拟人脑思维活动和头脑风暴会议所提出的新群智能优化算法，实验结果表明了其在单目标优化问题中的可行性和有效性。对于目前越来越受到人们关注的多目标优化问题，本毕业设计在原BSO算法的基础上进行分析改进，再用改进后的两种算法分别来解决多目标优化问题，并用MATLAB语言对其进行仿真实现，分析其各自的优缺点，最后总结得到的结论。

2.部分程序：

% bso test

clc

clear all

close all

%funStr = 'rastrigin'; %output worksheet name

%funName = @rastrigin; % fitness function name

%n_p = 500;    % population size

%n_d = 2;    % dimension

%n_c = 5;    % number of clusters

%rang_l = -100;    % left of dynamic range

%rang_r = 100;    % right of dynamic range

%max_iteration = 50;    % maximal number of iterations

warning off all

n_p = 100;    % population size

n_d = 30;    % dimension

n_c = 5;    % number of clusters

funStr = 'sphere30D5C'; %output worksheet name

funName = @sphere; % fitness function name

rang_l = -100;    % left of dynamic range sphere

rang_r = 100;    % right of dynamic range

%funStr = 'rastrigin10D5C'; %output worksheet name

%funName = @rastrigin; % fitness function name

%rang_l = -5.12;    % left of dynamic range rastrigin

%rang_r = 5.12;    % right of dynamic range

max_iteration = 200;    % maximal number of iterations

3.仿真结论：