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/360340/10101920
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/163771/10146023
m mgoldensection.m
function [xopt,fval,k,err]=mgoldensection(f,a,b,delta,max1)
% Purpose: golden section algorithm for linear search
% Programmer: LU Dagang
% Date: 25/05/2003
% Revised: 25/05/2003
% Version 1
www.eeworm.com/read/163563/10153865
m fg_names.m
function [fun, grad] = fg_names(alg)
%OTFUNGRA Returns names of functions which evaluate objective, constraints & grad.
% [fun, grad] = fg_names(alg) returns the names of two functions. The first
www.eeworm.com/read/424747/10417410
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/424747/10417632
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/424743/10420332
m get_structure.m
function str = get_structure( name )
%STRUCTURE Summary of this function goes here
%
% Structure used in this toolbox.
%
% individual structure:
% parameter: the parameter space point of the individ
www.eeworm.com/read/424743/10420358
m evaluate.m
function [v, x] = evaluate( prob, x )
%EVALUATE function evaluate an individual structure of a vector point with
%the given multiobjective problem.
% Detailed explanation goes here
% prob: is the
www.eeworm.com/read/353337/10453868
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/160551/10519014
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/421666/10713458
h glpapi.h
/* glpapi.h (application program interface) */
/***********************************************************************
* This code is part of GLPK (GNU Linear Programming Kit).
*
* Copyright (C) 2