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/375146/9370793
c ex25.c
/* ----------------------------------------------------------------------------
ex25.C
mbwall jan96
Copyright (c) 1995-1996 Massachusetts Institute of Technology
DESCRIPTION:
This ex
www.eeworm.com/read/366412/9816374
c ex25.c
/* ----------------------------------------------------------------------------
ex25.C
mbwall jan96
Copyright (c) 1995-1996 Massachusetts Institute of Technology
DESCRIPTION:
This example
www.eeworm.com/read/366411/9817039
c ex25.c
/* ----------------------------------------------------------------------------
ex25.C
mbwall jan96
Copyright (c) 1995-1996 Massachusetts Institute of Technology
DESCRIPTION:
This example
www.eeworm.com/read/167381/9970749
cpp ga-2.cpp
// Genetic Algorithm
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
#include
#inclu
www.eeworm.com/read/360770/10078822
m e661.m
%------------------------------------------------------------------
% Example 6.6.1: Davidon-Fletcher-Powell Method
%------------------------------------------------------------------
clc
c
www.eeworm.com/read/353126/10470502
cpp ga-2.cpp
// Genetic Algorithm
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
#include
#inclu
www.eeworm.com/read/353125/10470513
cpp ga-1.cpp
// 装箱问题遗传算法
#include
#include
#include
static void initialization(void);
static void evaluation(int gen);
static void selection(void);
static void crossover(
www.eeworm.com/read/160120/10569240
cpp ga-2.cpp
// Genetic Algorithm
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
#include
#inclu
www.eeworm.com/read/160118/10569278
cpp ga-1.cpp
// Genetic Algorithm for nonlinear programming
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
www.eeworm.com/read/418151/10964282
m lcobj1.m
function [objective,constraints] = LCObj1(x,param,max_radius,dbg)
%function [objective,constraints] = LCObj1(x,param,max_radius,dbg)
% The objective and constraints function for the initial optimizati