搜索资源列表
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关于进化memetic方面的一篇论文,对于理解memetic对进化算法的改进有帮助-a paper about evolutionary memetic computing
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一种新型进化算法论文：基于生物地理优化算法（BBO）.-Paper a new evolutionary algorithm: optimization algorithm based on biogeographic (BBO).
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Overview of evolutionary algorithm
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This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want
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本文介绍了一种新型模拟进化算法蚁群算法该方法通过模拟蚁群搜索食物的过程，达
到求解组合优化问题的目的 -This article describes a new type of simulated evolutionary algorithm method of ant colony algorithm in the simulation of ant colony search for food through the process of solving combinatorial op
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量子进化算法论文，详尽介绍该算法的原理及实验结果-Quantum evolutionary algorithm papers, detailed descr iptions of the principle of the algorithm and experimental results
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摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。-Abstract:This paperproposed a
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进化算法及其在全局优化和VRP中的应用的毕业论文-Evolutionary Algorithm and Its
Application in GlobalOptimization and Vehicle Routing Problem
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SPEA2 Improving the Strength Pareto Evolutionary Algorithm
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Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization
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用于一般函数优化的蚁群算法,开发环境为VC++,很实用-Ant colony system is a novel simulated evolutionary algorithm which shows many excellent characters.
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粒子群优化(Particle Swarm Optimization, PSO)，又称微粒群算法，是由J. Kennedy和R. C. Eberhart等于1995年开发的一种演化计算技术,来源于对一个简化社会模型的模拟。-Particle Swarm Optimization (Particle Swarm Optimization, PSO), also known as particle swarm optimization, by J. Kennedy and RC Eberhart eq
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简要阐述了进化算法的基本原理 ,探讨了在 MATLAB 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 the basic principles of evolutionary algorithm, to explore the genetic algorithm in MATLAB programming methods for each operator, and a simple example to illustrate
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optiaml facts allocation using evolutionary algorithm
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基于matlab的免疫进化算法 详细讲解了免疫算法的实现-Explain in detail the implementation of the immune algorithm based on the matlab immune evolutionary algorithm
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powerpoint about cat search algorithm a kind of evolutionary algorithm and numerical optimazation
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二次背包问题的贪婪量子进化算法求解,对于初学者来说非常适用-Quadratic knapsack problem greed quantum evolutionary algorithm, is very suitable for beginners
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提出了一种新的组合优化方法即组合优化多智能体进化算法. 该方法将智能体固定在网格上, 而每个智能体为了增加自身能量将与其邻域展开竞争, 同样智能体也可进行自学习来增加能量.-A new method for combinatorial optimization combinatorial optimization ie multi-agent evolutionary algorithm The method body is fixed in the smart grid, and each a
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A multiobjective optimization-based evolutionary algorithm for constrained optimiz
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During the past two decades, a variety of
multiobjective evolutionary algorithms (MOEAs) have been
proposed in the literature. As pointed out in some recent studies,
however, the performance of an MOEA can strongly depend on
the Pareto front shap
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