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[matlab] QUBIT4MATLAB3.02 DL : 0: 量子信息科学使用的源码以及量子进化算法，包括量子状态等，而且附有详细的说明文档-Quantum information science as well as the source used in quantum evolutionary algorithms, including quantum state and so on, and accompanied by a detailed description of the document
Date : 2025-12-28 Size : 251kb User : sandror
[matlab] MelanieMitchellAnIntroductiontoGeneticAlgorithms. DL : 0: to learn the use evolutionary algorithms in matlab
Date : 2025-12-28 Size : 1.8mb User : prakash
[matlab] aa DL : 0: 演化算法的使用分析，从效率上，从收敛速度上都做了仔细的分析-The use of evolutionary algorithms analysis of efficiency, from the convergence rate has done a careful analysis of
Date : 2025-12-28 Size : 337kb User : 张正生
[matlab] GEATbx_Intro_Algorithmen_v38 DL : 0: Introduction Evolutionary Algorithms: Overview, Methods and Operators.
Date : 2025-12-28 Size : 701kb User : ABDELHEDI
[matlab] mulitiobjective-evolutionary-Algorithms- DL : 0: 基于多样性测度的改进的多目标进化算法。处理约束问题的改进的多目标进化算法。-Diversity measure based on improved multi-objective evolutionary algorithm. Improved handling Constrained multi-objective evolutionary algorithm.
Date : 2025-12-28 Size : 21kb User : 杨雨
[matlab] ZW DL : 0: 约束优化进化算法，采用多目标优化算法的思想求解约束优化问题-constrained optimization evolutionary algorithms
Date : 2025-12-28 Size : 2kb User : 王勇
[matlab] Genetic_Algorithm DL : 0: 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 evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 1kb User : soroosh
[matlab] MLCC DL : 3: 多层次合作型协同演化算法，自适应分组规模的方法首次在CC中被应用-Multi-level cooperative co-evolutionary algorithms, adaptive packet size approach was first applied in the CC
Date : 2025-12-28 Size : 99kb User : zhangkaibo
[matlab] GA DL : 0: 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。-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 evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 10kb User : xuxianfeng
[matlab] genetic-algorithm DL : 0: In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.
Date : 2025-12-28 Size : 3kb User : Hutama Bramantyo
[matlab] climbing-algothrim DL : 0: 爬山算法，用于求解全局优化问题，并且可以与其他进化算法相结合纠结全局优化问题。-Climbing algorithm for solving global optimization problems, and can combine with other evolutionary algorithms tangled global optimization problems.
Date : 2025-12-28 Size : 4kb User : 郭洁皓
[matlab] PSO DL : 0: 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(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，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。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.
Date : 2025-12-28 Size : 2kb User : 艾岳巍
[matlab] pso-bp DL : 0: 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(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，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。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。 BP（Back Propagation）神经网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hidden layer)和输出层(output layer)。-Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm. BP (Back Propagation) neural network is a 1986 team of scientists headed by Rumelhart and McC
Date : 2025-12-28 Size : 2kb User : 艾岳巍
[matlab] Genetic-algorithm DL : 0: 遗传算法属于进化算法( Evolutionary Algorithms) 的一种,它通过模仿自然界的选择与遗传的机理来寻找最优解. 遗传算法有三个基本算子:选择、交叉和变异.-Genetic algorithm is a kind of evolutionary algorithm (moeca), it is through the imitation of nature selection and genetic mechanism to find the optimal solution. Genetic algorithm has three basic operators: selection, crossover and mutation.
Date : 2025-12-28 Size : 46kb User : 朱栋
[matlab] Optimization-algorithm-of-PSO DL : 0: 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 -Particle swarm optimization (PSO) is a kind of stochastic optimization technique based on population. Compared with other evolutionary algorithms based on the group, they are initialized to a set of random solutions. The difference is: follow the principle of survival of the fittest evolutionary computation, and PSO simulation of society. Each of the possible solutions is expressed as a particle in the swarm, each particle has its own position vector and velocity vector, and the fitness of a target is determined by the target function. All particles in the search space to a certain speed, by following the current search to find the optimal value to find the global optimal value.
Date : 2025-12-28 Size : 3kb User : Wang
[matlab] DE DL : 0: 实现群体智能算法中进化算法基本功能，包括变异，交叉，选择等-Realization of swarm intelligence algorithms evolutionary algorithms basic functions, including mutation, crossover, selection
Date : 2025-12-28 Size : 2kb User : zhangjun
[matlab] Particle-Swarm-Optimization DL : 0: PSO 算法属于进化算法的一种，和模拟退火算法相似，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-PSO algorithm is a kind of evolutionary algorithms，Similar and simulated annealing algorithm，It is also starting the random solution，To find the optimal solution by iteration，It is also through the fitness to uate the quality of the solution
Date : 2025-12-28 Size : 4kb User : 翔子
[matlab] Evolutionary-Algorithms DL : 0: 进化计算学习的重要文档，需要的赶紧下。亲测有效-Meta-larmkican study important documents, and we need quickly under. Effective pro-test
Date : 2025-12-28 Size : 617kb User : liuao0910
[matlab] wenhualiziqun DL : 0: 文化算法是一种用于解决复杂计算的新型全局优化搜索算法，它模拟人类社会的演化过程。在人类社会中，文化可以被看做是信息的载体，这些信息潜在地影响所有社会成员，并且有益于指导同代及其后代解决问题的实践活动。区别于其他进化算法，文化算法是基于知识的双层进化系统，其包含两个进化空间：一个是由在进化过程中获取的经验和知识组成的信仰空间；另一个是由具体个体组成的种群空间，通过进化操作和性能评价进行自身的迭代。-Culture is an algorithm to solve complex calculations of the new global optimization search algorithm, which simulates the evolution of human society. In human society, culture can be seen as a carrier of information, the information potentially affects all members of society, and is conducive to the guidance of the same generation and future generations to solve the problem of practice. Different other evolutionary algorithms, cultural evolution algorithm is based on a double system of knowledge, the evolution of which contains two spaces: a space defined by the faith experience and knowledge acquired during the evolution of the composition the other is by the specific population of individuals of space, through the evolution of the operation and performance uation of its own iteration.
Date : 2025-12-28 Size : 1kb User : 哥特式复兴
[matlab] liziqunsuanfa DL : 0: 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO，是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，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。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-Swarm optimization, also known as PSO (Particle Swarm Optimization), abbreviated as PSO, in recent years, one J. Kennedy and RC Eberhart et al. [1] developed a new evolutionary algorithm (Evolutionary Algorithm- EA). One of PSO algorithm and simulated annealing algorithm is similar to evolutionary algorithms, it is also a departure random solutions, through iterative find the optimal solution, it is also uated by the fitness of the solution quality, but it' s simpler than genetic algorithm rules it is no genetic algorithm " cross" (crossover) and " variation" (mutation) operation, follow it through to the current search to find the optimal value of the global optimum. This algorithm is its easy implementation, high precision, rapid convergence, etc. attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm.
Date : 2025-12-28 Size : 1kb User : snowtiger

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