代码搜索:Objective
找到约 3,719 项符合「Objective」的源代码
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www.eeworm.com/read/409477/11321560
m mpga.m
% MPGA.M Multi Population Genetic Algorithm
%
% This script implements the Multi Population Genetic Algorithm.
% A real-valued representation of the individuals is used.
%
% Author: A
www.eeworm.com/read/409477/11321590
m resplot.m
% RESPLOT.M (RESult PLOTing)
%
% This function plots some of the results during computation.
%
% Syntax: resplot(Chrom,IndAll,ObjV,Best,gen)
%
% Input parameters:
% Chrom - Matrix
www.eeworm.com/read/409477/11321594
m mpga.m
% MPGA.M (Multi Population Genetic Algorithm)
%
% This script implements the Multi Population Genetic Algorithm.
% Real valued representation for the individuals is used.
%
% Author:
www.eeworm.com/read/408615/11379232
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/348290/11602726
m mpga.m
% mpga multi population genetic algorithm
%
% This script implements the Multi Population Genetic Algorithm.
% A real-valued representation of the individuals is used.
%
% Author: Andrew
www.eeworm.com/read/348290/11602783
m resplot.m
% RESPLOT.M (RESult PLOTing)
%
% This function plots some results during computation.
%
% Syntax: resplot(Chrom,IndAll,ObjV,Best,gen)
%
% Input parameters:
% Chrom - Matrix containing th
www.eeworm.com/read/346296/11755640
m smallexample.m
% This short script demonstrates the use of the interior-point solver to
% compute the solution to a quadratic program with convex objective
% (i.e. positive-definite Hessian) and convex, quadratic in
www.eeworm.com/read/346296/11755642
m qprog.m
function varargout = qprog (x, z, data, what)
[ H q P r b] = deal(data{:});
n = length(x); % The number of (primal) variables.
m = length(b); % The number of inequality c
www.eeworm.com/read/257008/11961216
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/255742/12060876
h eomofitnessstat.h
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoFitnessStat.h
// (c) Marc