代码搜索：Objective
找到约 3,719 项符合「Objective」的源代码
代码结果 3,719
www.eeworm.com/read/418151/10964274
m designlcbp6.m
function [param,H,L0,ABCD,x] = designLCBP6(n,OSR,opt,Hinf,f0,t,form,x0,dbg)
% Modified designLCBP for use with latest optimization toolbox
% Handle the input arguments
parameters = {'n';'OSR';'opt';'
www.eeworm.com/read/468941/6982504
m tvpso.m
function [x, fval, exitflag, output] = pso(objfunc, nvars, options)
% PSO Particle Swarm Optimization Algorithm
%
% PSO attempts to solve continuous optimization problem of the form
%
% m
www.eeworm.com/read/465798/7046281
txt readme.txt
This directory contains the source code and
the Visual C++ 6 project files for WinMkSCS.
WinMkSCS (C) 2002 Jeffrey Bakker
WinMkSCS is copyrighted under the GNU GPL
(General Public Lice
www.eeworm.com/read/465889/7048305
m runps.m
function [x fval] = runps(a,b,c,x0)
[x, fval] = patternsearch(@nestedfun,x0);
% Nested function that computes the objective function
function y = nestedfun(x)
y = (a - b*x(1)^2 + x(1)
www.eeworm.com/read/464986/7064063
m runps.m
function [x fval] = runps(a,b,c,x0)
[x, fval] = patternsearch(@nestedfun,x0);
% Nested function that computes the objective function
function y = nestedfun(x)
y = (a - b*x(1)^2 + x(1)
www.eeworm.com/read/462739/7196876
me read.me
Please read the preamble on the nsga2.c file for details
of putting objective functions and running the code.
For any bug information, please contact
Kalyanmoy Deb
deb@iitk.ac.in
www.eeworm.com/read/462003/7213096
m 遗传rbf网络.m
%种群个体数目 20 nind 变量数 1 nvar
echo off
clear
clc
NIND = 20 %个体数目
NVAR = 1; %变量维数
Range = [0;5]; %变量范围
GGAP = .8; % Generation gap, how many new individuals are crea
www.eeworm.com/read/455852/7362786
m youhua.m
function [f,g]=youhua(x)
% obtain the objective function
V0=4*pi*(x(1)+x(2)+x(3))^3/3;S0=8*pi*(x(1)+x(2)+x(3))^2;
Va=8*pi^2*x(1)*x(2)*x(3);Sa=4*pi^2*x(1)*((x(2)+x(3))+abs(x(2)-x(3)));
Vb=8*pi^2*
www.eeworm.com/read/445211/7597973
m kernel_combination.m
function D = kernel_combination(K_,Y)
% D = KERNEL_COMBINATION(K,Y)
% Learn a combination of kernel given by the 3D matrix K
% Postive weights are returned in D [note that length(D) = size(K,3)]
% The
www.eeworm.com/read/441941/7662618
m runps.m
function [x fval] = runps(a,b,c,x0)
[x, fval] = patternsearch(@nestedfun,x0);
% Nested function that computes the objective function
function y = nestedfun(x)
y = (a - b*x(1)^2 + x(1)