搜索资源列表
mtpso
- 连续型粒子群算法的java实现，可以自己设计粒子群算法（继承Swarm和Particle类），包含有三个个抽象类（Swarm、Particle、Problem），可以继承Problem类自定义新的问题。-continuous particle swarm algorithm to achieve the java can design their own PSO algorithm (inheritance and Particle Swarm), contains an abstract ca
Artificial_fish_matlab.rar
- 根据人工鱼群算法的基本原理，求解一个函数值的最优解；,According to the basic principles of artificial fish-swarm algorithm, solving a function value of the optimal solution
CLSPSO
- 混沌粒子群算法，具有很好的全局搜索能力！-Chaotic particle swarm algorithm has good global search capability!
EAFSA
- 改进的人工鱼群算法，优化后实现，可视化。-Improved artificial fish-swarm algorithm, optimized to achieve, visualization.
xia
- 人工鱼群算法是一种寄予动物行为的自治体寻优模式。-Artificial fish-swarm algorithm is a kind of animal behavior have great self-governing body optimization model.
CLSPSO
- 混沌的粒子群算法，求解无约束优化问题，可以保持个体多样性-Chaotic particle swarm algorithm for solving unconstrained optimization problems, can maintain the diversity of individual
PSO-algorithm
- 一本介绍粒子群算法的书籍。希望对您有帮助。-A introduction particle swarm algorithm of books. Hope of any help to you.
particle-swarm-algorithm---matlab
- 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
Particle-swarm-algorithm-QOS
- 具有NP-C性质的QoS路由优化已经成为网络研究中的一个热点问题， 粒 子群算法所具有的优点成为解决 QoS 路由优化的有效方式。-With NP-C nature of the QoS routing optimization has become a network of research of a hot issue, grain The son has the advantages of the algorithm to solve the optimization of the e
improved-particle-swarm-algorithm
- 6种求解无约束优化问题的改进的粒子群算法，matlab编程。-Six kinds of solving unconstrained optimization problems improved particle swarm algorithm, matlab programming.
Particle-swarm-algorithm-matlab-code
- PSO算法就是模拟一群鸟寻找食物的过程，每个鸟就是PSO中的粒子，也就是我们需要求解问题的可能解，这些鸟在寻找食物的过程中，不停改变自己在空中飞行的位置与速度。-PSO algorithm is to simulate a flock of birds looking for food in the process, each bird is the PSO particles, that is, we need to solve the problem of possible solution
Multi-Agent-Particle-Swarm-Algorithm
- 结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology，coordinating strateg
FISH-SWARM-algorithm
- 本程序是鱼群算法的拓展：一种缩减视野和步长的鱼群算法-A reduced vision and step length fish algorithm
Particle-swarm-algorithm
- 用python语言实现粒子群算法，此处用来求解几道非线性式子-Particle swarm algorithm， python language， here used to solve several nonlinear equations
Multiple--algorithm-
- 多目标多群组粒子群工序算法 matlabMultiple target group particle swarm algorithm matlab-Multiple target group particle swarm algorithm matlab
Particle-swarm-algorithm-
- 粒子群算法的基本介绍的word文档，该文件和普通的文字介绍不同，它是通过一个图形例子，很形象地描述粒子群算法的内涵。文件后有代码。非常适合初学者，帮助快速理解-The basic particle swarm algorithm is introduced, and the file and ordinary text introduces different, it is through a graphic example, very vividly describes the connota
Particle-Swarm
- 基于Pareto支配的多目标粒子群算法程序，用matlab设计实现，已经通过多个公认测试函数测试，结果良好。 -Based on multi-objective particle swarm algorithm Pareto domination, using matlab design implementation, test function has been recognized by a number of tests with good results.
particle-swarm-optimization
- 为方便学习粒子群算法基本流程及编程，这里给出了粒子群算法的MATLAB程序-To facilitate the learning process and particle swarm basic programming, here are the particle swarm algorithm in MATLAB
Multi-objective-particle-swarm
- 利用matlab编写的多目标粒子群算法可以很快得到最优值。-Use matlab write multi-objective particle swarm algorithm can quickly obtain optimal value.
Biogeography-Optimization-algorithm
- 生物地理学优化算法，作者Dan Simon，是在遗传算法和粒子群算法的基础上发展来的，适用于解决高维度的，多目标的最优化问题。-Biogeography optimization algorithm, author Dan Simon, is based on genetic algorithm and particle swarm algorithm development to apply to solve high-dimensional, multi-objective optimiza