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/241695/13125017
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/241695/13125019
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/323721/13325264
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 contai
www.eeworm.com/read/323721/13325272
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/323721/13325294
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/323721/13325296
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/315324/13545918
m fibonacci.m
% Program: fibonacci.m
% Title: Fibonacci Search
% Description: Implements the Fibonacci search.
% Theory: See Practical Optimization Sec. 4.3
% Input:
% fname: objective function
% [xL1,
www.eeworm.com/read/315321/13545959
m newton.m
% Program: newton.m
% Title: Newton algorithm
% Description: Implements the Newton algorithm
% described in Algorithm 5.3. Step 2 is
% is carried out by using Eq.(5.13).
% Theory: See Practical
www.eeworm.com/read/314009/13576490
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/309747/13664938
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