搜索资源列表
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to learn the use evolutionary algorithms in matlab
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Develop the NSGA-II or SPEA2 multiobjective evolutionary
algorithms to solve the multiobjective optimization
problems.-Develop the NSGA-II or SPEA2 multiobjective evolutionary
algorithms to solve the multiobjective optimization
problems.
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最近两年比较流行的量子进化算法（QEA），能够求解一般的优化问题。算例是一个典型的背包问题（离散二值问题）。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack problem (discrete binary problem
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最近两年流行的量子进化算法程序，能够优化一下基本的问题，本程序是基于一个连续的极值问题。-The last two years the popular quantum-inspired evolutionary algorithm process, to optimize the basic questions about this program is based on a continuous extremal problem.
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利用差分演化优化极限学习机神经网络的matlab源代码，涉及2个matlab程序-evolutionary extreme learning machine, differential evolution
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多目标进化算法，里面有html格式的源码说明！-Multi-objective evolutionary algorithm, which has the source code for html format descr iption!
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微粒群优化算法 （PSO） 是一种进化计算技术 , 由Eberhart博士和kennedy博士于1995年提出。微粒群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解。
-Particle Swarm Optimization (PSO) is an evolutionary computation technique, by Dr. Eberhart and Dr. kennedy made in 1995. Particle Swarm Optimization Alg
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粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
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复杂网络上演化博弈的小世界网络的算法等等希望有用-Evolutionary Game on Complex Networks of small world network of algorithms, and so wish to be useful
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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
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该用matlab 实现的遗传算法可以用于多目标有约束优化，是我最近学习matlab时一个视频上讲的例子，视频在土豆网搜“matlab全局优化方法及应用”。希望多大家有用。-This genetic algorithm can be used to solve the multi-objective optimization.
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另一个matlab版本的差分进化算法，跟前面上传的有差别。-A differential evolutionary algorithm coded by matlab
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FEP快速进化规划算法，参见姚新的文章《Evolutionary Programming Made Faster》-FEP fast evolutionary programming algorithm, see Yao xin s paper《Evolutionary Programming Made Faster》
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The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient metho
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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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artificial bee evolutionary algorithm
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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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在MATLAB环境下的量子进化算法及先进的量子旋转门-In the MATLAB environment, the quantum evolutionary algorithm and advanced quantum revolving door
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PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优-PSO algorithm is an evolutionary algorithm, and genetic algorithm is similar, it is starting from a random solu
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A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolution
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