代码搜索:Population

找到约 4,722 项符合「Population」的源代码

代码结果 4,722
www.eeworm.com/read/224816/14567145

c initial.c

#include "genet.h" initialize_population() { int p,i,j; int s[K],d[N]; for (p = 0; p < pop; ++p) { pp[p] = &population[p]; /* initialise the pointer pp */ for (i=0; i
www.eeworm.com/read/119508/14827597

c initial.c

#include "genet.h" initialize_population() { int p,i,j; int s[K],d[N]; for (p = 0; p < pop; ++p) { pp[p] = &population[p]; /* initialise the pointer pp */ for (i=0; i
www.eeworm.com/read/204978/15330666

c moea.c

#include "MOEA.h" #include #include MOEA::MOEA() : pop1_initSz(INVALID_VALUE), pop2_initSz(INVALID_VALUE), pop1_maxSz(INVALID_VALUE), pop2_maxSz(INVALID_VALUE), ppop1(
www.eeworm.com/read/385451/8804553

m sce.m

function [X,FVAL,EXITFLAG,OUTPUT] = SCE(FUN,X0,LB,UB,OPTIONS,varargin) %SCE finds a minimum of a function of several variables using the shuffled % complex evolution (SCE) algorithm originally introdu
www.eeworm.com/read/364264/9916687

m calcpopfitness.m

function [pop,state]=calcpopfitness(pop,params,data,state) %CALCPOPFITNESS Calculate fitness values for a GPLAB population. % CALCPOPFITNESS(POPULATION,PARAMS,DATA,STATE) returns the % popul
www.eeworm.com/read/418724/10934752

cpp ga_tutorial.cpp

//-----------------------------------------ga_tutorial.cpp-------------------------------------- // // code to illustrate the use of a genetic algorithm to solve the problem described // at www.ai
www.eeworm.com/read/358608/6943016

m sce.m

function [X,FVAL,EXITFLAG,OUTPUT] = SCE(FUN,X0,LB,UB,OPTIONS,varargin) %SCE finds a minimum of a function of several variables using the shuffled % complex evolution (SCE) algorithm originally introdu
www.eeworm.com/read/434872/7800637

cs geneticalgorithmbase.cs

using System; using System.Collections.Generic; using System.Text; namespace GeneticAlgorithmLib { public abstract class GeneticAlgorithmBase { protected int m_NumberOfSelecte