搜索资源列表
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进化计算中的PSO算法，用c++仿真实现-Evolutionary Computation in the PSO algorithm, using c++ Simulation
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演化算法求运算树表达的最大值，通过后序遍历求得适应度函数值，通过演化算法优化最优解-Evolutionary algorithms seek to express the maximum value of the tree operations, through the postorder fitness function values obtained by evolutionary algorithm to optimize the optimal solution
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蚁群算法的原理及其应用.pdf；；蚁群算法是优化领域中新出现的一种仿生进
化算法。该算法采用分布式并行计算机制,具有较强的鲁棒性 但有搜索时间较长,易陷入局部最优解的缺点。-The principle of ant colony algorithm and its application. Pdf ant colony algorithm is to optimize the emerging field of evolutionary algorithm for a bionic. T
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超平面分割算法的c语言实现，没做界面，功能较全，通过演化算法进行优化-Hyperplane segmentation algorithm c-language implementation, not done interface and capabilities of a whole, through the evolutionary algorithm to optimize the
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量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上，对它们进行比较，阐明了二者的不同特点-Quantum-inspired evolutionary algorithms and immune algorithms are a powerful algorithm to solve optimization problems. After analyzing the characteristics of the quantum evoluti
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分析量子进化算法和免疫算子的特点,提出一种分级变异的量子进化算法,用于求解多目标优化问题-Analysis of quantum-inspired evolutionary algorithms and immune operator characteristics, presents a hierarchical variation of the quantum-inspired evolutionary algorithm for solving multi-objective optimi
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提供最优参数集，用它更容易进行算法的微分进化。-his contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution.
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Algorithm::Evolutionary provides classes for performing simple evolutionary computation tasks, including definition of objects from XML and SOAP support. It should be interoperable with other EC libraries using SOAP.
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粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。-Particle swarm optimization, also known as PSO (Particle Swarm Optimization), abbreviated as PSO, in recent years developed a new evolutionary alg
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ECEA is a multiobjective evolutionary algorithm based on a novel, adaptive implementation of the epsilon-constraint
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ABC algorithm. an evolutionary algorithm for solving optimization problems that id inspired of honey bees foraging.
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Multi-objective Evolutionary Algorithm SPEA2
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In computer science, Imperialist Competitive Algorithm (ICA) is a computational method that is used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does not need the gradient of
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To finding an optimum parameter set using the evolutionary algorithm of Differential Evolution-This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If y
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用Matlab实现的NSGA2多目标优化算法的源程序，用户可以根据需要定义相应的参数-Using Matlab multi-objective evolutionary algorithm to achieve the source, the user can define the parameters of the corresponding
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基于聚类算法的改进多目标进化算法，性能很好.是将机器学习与进化算法相结合的一个范例。-Evolutionary algorithm, improved well performance-based multi-objective clustering
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In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimizatio
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Cuckoo algorithm is another evolutionary algorithm used to perform optimization application.
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This a software package with matlab source code for evolutionary algorithm. The algorithm combine GA with adaptive differential algorithm to solve the optimal problems provided in CEC2014. And the results show it has good performance.
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用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2
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