搜索资源列表
selest
- 关于一些算法中如何生成新成员的选择方法,粒子群算法,遗传算法等算法可以用。-How about some algorithm to generate a new member of the selection method, particle swarm optimization, genetic algorithms and other algorithms can be used.
SIALAB
- 此代码是有关群智能优化算法的集合平台,集成了遗传算法、微粒群算法和蚁群算法的BenchMark优化问题以及TSP问题的求解。-This code is related to group a collection of intelligent optimization algorithm platform, integrating the genetic algorithm, particle swarm optimization and ant colony optimization algor
PSO
- 针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足,本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化,并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率,提高解的精确,同时还保持了较低的计算复杂度,具有良好的稳健性。-TSP problem solving for the traditional algorithms such as genetic alg
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题;用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
Discrete-PSO
- In this paper, a novel Discrete Particle Swarm Optimization Algorithm (DPSOA) for data clustering has been proposed. The particle positions and velocities are defined in a discrete form. The DPSOA algorithm uses of a simple probability approach
fpa_demo
- Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a new algorithm, namely, flower pollination algorithm, inspired by the
New-WinRAR-archive
- this folder contains genetic algorithm and particle swarm optimization sample in matlab platform.
ds
- hkvnm Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linea
GAPSO-PSOGA
- how to mix Genetic Algorithm And Particles Swarm Optimization
jifjsaf
- Particle swarm optimization algorithm, also known as particle swarm optimization algorithm (Swarm Optimization Particle), abbreviated as PSO, is a parallel algorithm on the basis of the observation of the behavior of animal clusters, the use of group
jiyujiaocha-PSO
- 是对基本粒子群算法PSO的一种改进,加入遗传算法GA中的简单的交叉环节,子代再进行迭代。-this is an improvement to the basic particle swarm algorithm PSO, adding a simple intersection in the genetic algorithm GA, and the iterations are iterated again.