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郭涛算法(GuoA)是基于子空间搜索(多父体重组)和群体爬山法相结合的演化算法。它通过利用少数个体所张成的子空间随机生成新的个体,体现了随机搜索的非凸性。此外,由于GuoA算法采用了单个体劣汰策略,算法在每次演化
迭代中,只把群体中适应性能最差的个体淘汰出局,淘汰压力
较小,既保证了群体的多样性,又可使具有较好适应性的个体能够一直保留。实践证明, GuoA算法具有较好的坚韧性,对于不同的优化问题无须修改算法的参数,而且效率很高,可能同时找到多个最优解。-Guo Tao algorithm
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用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm
Evolutionary Algorithm package implemented using Java.
The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
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根据演化计算的思想，采用精英演化策略模型搜索优化问题最优解。-Evolutionary computation based on the idea of evolution strategies with the elite model search optimization the optimal solution.
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De John s second equation using Evolutionary strategies(ES)-De John s second equation using Evolutionary strategies(ES)...
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The aim of this book is to furnish some theoretical concepts and to
sketch a general framework for computational intelligence paradigms
such as artificial neural networks, fuzzy systems, evolutionary computation,
genetic algorithms, genetic pro
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本文提出了EDiMƒ ESO(电气放电加工应用模糊进化策略优化)为一个多目标优化控制参数
在电火花机(EDM)。-This paper proposes EDiMƒ ESO (Electrical
Discharge Machine using Fuzzy Evolutionary Strategies
Optimization) as a multi-objective optimization to control parameters
in Electric
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The objective of this problem is to become familiar with the operation of evolutionary strategies. To do this, implement the so-called (1 +1)--The objective of this problem is to become familiar with the operation of evolutionary strategies. To do th
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这是一个进化生物学模型。在这，代理人（奶牛）争夺自然资源（草）。奶牛，更成功让草繁殖更经常地，并将因此更进化成功。该模型包括2种奶牛，贪婪和合作。它显示了这些不同的策略时，互相竞争，在一个人口的发展随着时间的。-his is an evolutionary biology model. In it, agents (cows) compete for natural resources (grass). Cows that are more successful in getting grass
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Author: Yong Wang
Last Edited: July 1, 2010
Email: ywang@csu.edu.cn
Reference: Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters
IEEE Transactions on Evolutionary Computation, Accepted
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一种改进的变参数粒子群优化算法，该方法以进化状态因子计算策略和进化状态估计模型-An improved particle swarm optimization variable parameters, the method to calculate evolutionary strategies and evolutionary state factor model of state estimation
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本书论述深入浅出，从简单的实力介绍没中算法的原理，然后深入讨论他们的基本理论及应用技术，图文并茂，便于自学；包括，遗传算法，遗传规则，进化策略，金花规则4中算法，本书分别介绍他们的基本知识，基本理论及实施技术，全书共分5涨，跟别为绪论，遗传算法，遗传规划，进化策略，进化规划-This book discusses in simple terms, the strength of introduction from a simple principle of the algorithm is no
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In this work, we present a novel evolutionary multiagent-based simulation
tool, named as GAPatrol. Such system is devoted to the specification of
effective police patrol route strategies for coping with criminal activities happening
in a given
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[ES.rar] - they are matlab code for evolutionary strategy (ES), (ES(1+1), ES(1,1),ES(mu,lambda),ES(mu+lambda), I hope they are useful for you
[ES.zip] - evolution strategiES
[ES.rar] - they are matlab code for evolutionary strategy (ES), (ES(1
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本程序介绍了一种基于人工免疫算法的解决TSP问题的方法，体现了免疫算法在进化计算过程中的抗原学习、记忆机制、浓度调节机制以及多样性抗体保持策略等优良特性-This procedure describes a method for solving TSP problem based on artificial immune algorithm, immune algorithm reflects the antigen learning in evolutionary computation pr
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NSGA-2，带精英策略的进化算法，功能全面，涉及文件操作。(NSGA-2, an evolutionary algorithm with elitist strategies, is comprehensive and involves file operations.)
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NSGA-2，带精英策略的进化算法，功能全面，涉及文件操作。这为另外一个版本(NSGA-2, an evolutionary algorithm with elitist strategies, is comprehensive and involves file operations.This is for another version)
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基于python语言下的典型进化策略算法实现代码(Evolutionary strategy algorithm implementation python code)
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选取政府、配送企业、用户为城市货运过程中的博弈参与主体，为了分析在城市货运政策推广过程中影响各参与主体策略选择的因素，提出了构建政府、配送企业、用户三者之间的演化博弈模型。在分析博弈三方不同策略的成本和收益基础上，采用系统动力学方法对模型进行仿真分析。(The government, distribution enterprises and users are selected as the participants of the game in the process of urban fre
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