代码搜索:Objective

找到约 3,719 项符合「Objective」的源代码

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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
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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
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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:
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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)
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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
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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
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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
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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
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h eomofitnessstat.h

// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*- //----------------------------------------------------------------------------- // eoFitnessStat.h // (c) Marc