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此文档是遗传算法原理加源代码。
生物的进化是一个奇妙的优化过程，它通过选择淘汰，突然变异，基因遗传等规律产生适应环境变化的优良物种。遗传算法是根据生物进化思想而启发得出的一种全局优化算法。 -This document is the principle of genetic algorithm source code increases. Biological evolution is a wonderful optimization process, it eliminated by ch
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改进粒子群算法。较好的全局收敛性。较快的速度。-Improvement of Particle Swarm Optimization. Better global convergence. Faster speed.
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采用了简单遗传算法进行了一些全局优化的计算，程序经过验证-Using a simple genetic algorithm to carry out a number of global optimization calculations, procedures verified
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运用MATLAB编程实现遗传算法，数值仿真验证该方法的有效性，表明它能够对函数进行全局寻优。这种实现方法既可以熟悉MATLAB语言，又可以加深对遗传算法的认识和理解，以此来设计智能系统-Programming using MATLAB genetic algorithm, numerical simulation to verify the effectiveness of the method, that it is able to function for global optimizati
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使用一系列简单函数对遗传算法进行的改进，克服了传统遗传算法难以全局寻优的缺点。-The use of a series of simple function of the genetic algorithm to improve and overcome the traditional genetic algorithm global optimization difficult shortcomings.
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PSO的改进算法，引入了遗传算法中的交叉概念，提出一种新的二次插值的交叉操作符-A New Particle Swarm Optimization Algorithm Incorporating Reproduction
Operator for Solving Global Optimization Problems
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Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates
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遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法，它借
用了生物遗传学的观点，通过自然选择、遗传、变异等作用机制，实现各个个体的适应性
的提高。-Genetic Algorithm (Genetic Algorithm, GA) in recent years developed a brand new global optimization algorithm, which, by
With the biological point
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这篇文章是拉马克进化在全局优化中的应用，在全局优化中如何利用拉马克进化论设计进化策略，帮助实现更好的优化。-This article is Lamarckian evolution in global optimization, in the global optimization how to use the Lamarckian theory of evolution in the design evolution of strategies to help achieve a better
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用fortran语言写的模拟退火法的例子。模拟退火法作为一种全局优化算法，应用广泛，而fortran作为科学计算语言，是很多研究人员的首选，因此该程序容易被研究者集成到自己的程序中去。-Simulated annealing is a global optimization method, which is widely used, and fortran is a widely accepted scientific programing language, so this code is v
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移动机器人全覆盖路径规划优化方法。从全局优化的角度出发，提出一种基于区域分割的环境建模方法-Full coverage of mobile robot path planning optimization method. From the global optimization point of view, presents a region-based segmentation of environmental modeling
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Java Bytecode Inlining Tool. JavaGO performs global optimization of Java byte code with assumption that it has information about all classes used in application. Source & Binary
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DIRECT算法是一种全局性、无须梯度信息的优化算法，广泛应用于全局优化领域。该算法基于VC编制。-DIRECT algorithm is a comprehensive, no gradient information of the optimization algorithm is widely used in the field of global optimization. The algorithm is based on VC establishment.
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DIRECT全局优化—无约束，基于MATLAB编制，可直接编译-DIRECT global optimization- non-binding, based on MATLAB preparation, can be directly compiled
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根据遗传算法的基本理论，运用MATLAB编程设计实现该算法。通过数值仿真验证了该实现方法的有效性，表明它能够对函数进行全局寻优。-According to the basic theory of genetic algorithm, using MATLAB programming designed to realize the algorithm. By numerical simulation the effectiveness of the implementation method, t
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模拟退火算法在处理全局优化、离散变量优化等困难问题中,具有传统优化算法无可比拟的优势。描
述了模拟退火算法的原理及其基本框架结构,给出了用模拟退火算法求解TSP问题的具体实现方法
-Simulated annealing algorithm in dealing with global optimization, discrete variable optimization of difficult problems, traditional optimization algorithm
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改进的粒子群算法，增强局部搜索与全局优化能力-Improved particle swarm optimization, enhance the ability of local search and global optimization
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Computational Study for Protein-Protein Docking Using Global Optimization and Empirical Potentials
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一种对于图匹配优化问题对偶分解的算法实现-An implementation of a dual decomposition technique for the graph matching optimization problem described in
Feature Correspondence via Graph Matching: Models and Global Optimization.
Lorenzo Torresani, Vladimi
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简要阐述了遗传算法的基本原理，探讨了在 环境中实现遗传算法各算子的编程方法，并以一个简单的实例说明所编程序在函数全局寻优中的应用。-Briefly described the basic principles of genetic algorithms to explore the genetic algorithm in the environment to achieve the operator' s programming, and a simple example shows t
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