文件名称:CPSO
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-06-03
- 文件大小：
- 1.82mb
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- 0次
- 提 供 者：
- wei****
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用CPSO算法求解带约束的函数优化问题。目标函数为f=(x(3)+2)*x(2)*x(1)^2，求其最小值；约束为g(1)=1-x(2)^3*x(3)/(71785*x(1)^4)
g(2)=(4*x(2)^2-x(1)*x(2))/(12566*(x(2)*x(1)^3-x(1)^4))+1/(5108*x(1)^2)-1
g(3)=1-140.45*x(1)/(x(2)^2*x(3))
g(4)=(x(1)+x(2))/1.5-1
决策变量取值范围：x1-[0.05,2],x2-[0.25,1.3],x3-[2,15]-With CPSO algorithm for solving constrained function optimization problems. The objective function f = (x (3)+2)* x (2)* x (1) ^ 2, find the minimum value constraint g (1) = 1-x (2) ^ 3* x (3)/(71785* x (1) ^ 4) g (2) = (4* x (2) ^ 2-x (1)* x (2))/(12566* (x (2)* x (1 ) ^ 3-x (1) ^ 4))+1/(5108* x (1) ^ 2)-1 g (3) = 1-140.45* x (1)/(x (2) ^ 2* x (3)) g (4) = (x (1)+x (2))/1.5-1 decision variable ranges: x1-[0.05,2], x2-[0.25,1.3], x3-[ 2,15]
g(2)=(4*x(2)^2-x(1)*x(2))/(12566*(x(2)*x(1)^3-x(1)^4))+1/(5108*x(1)^2)-1
g(3)=1-140.45*x(1)/(x(2)^2*x(3))
g(4)=(x(1)+x(2))/1.5-1
决策变量取值范围：x1-[0.05,2],x2-[0.25,1.3],x3-[2,15]-With CPSO algorithm for solving constrained function optimization problems. The objective function f = (x (3)+2)* x (2)* x (1) ^ 2, find the minimum value constraint g (1) = 1-x (2) ^ 3* x (3)/(71785* x (1) ^ 4) g (2) = (4* x (2) ^ 2-x (1)* x (2))/(12566* (x (2)* x (1 ) ^ 3-x (1) ^ 4))+1/(5108* x (1) ^ 2)-1 g (3) = 1-140.45* x (1)/(x (2) ^ 2* x (3)) g (4) = (x (1)+x (2))/1.5-1 decision variable ranges: x1-[0.05,2], x2-[0.25,1.3], x3-[ 2,15]
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下载文件列表
CPSO\CPSO.asv
....\CPSO.m
....\CPSOfiness1.asv
....\CPSOfiness1.m
....\CPSOfiness2.asv
....\CPSOfiness2.m
....\initialxv.asv
....\initialxv.m
....\xvfile2.mat
....\第3章PSO求解约束优化问题.ppt
CPSO