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粒子群优化算法程序包,包括java、c、vb三个版本-Particle Swarm Optimization package, including java, c, vb three versions
Update : 2025-03-07 Size : 128kb Publisher : 刘坤

Multiobjective Particle Swarm with Crowding Distance(多目标优化)-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
Update : 2025-03-07 Size : 35kb Publisher : 梅传根

多目标问题的粒子群优化算法实现,毕设时设计的,通过运行!-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
Update : 2025-03-07 Size : 10kb Publisher : pengyang

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关于粒子群算法的各种应用及当前研究前沿热点。-With regard to various applications of particle swarm optimization algorithm and the frontier of current research hotspot.
Update : 2025-03-07 Size : 17.33mb Publisher : 杨经纬

多目标优化的例证,用粒子群算法做的。调试过,没问题,能用。-multi-objective ,PSO
Update : 2025-03-07 Size : 57kb Publisher : mingming

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CLPSO多目标,成功的应用PSO解决多目标问题,目前来说,该算法是PSO解决多目标问题的典范,可以做进一步的参考-Comprehensive Learning Particle Swarm Optimizer for Solving Multiobjective Optimization Problems
Update : 2025-03-07 Size : 237kb Publisher : ms.wang

粒子群优化工具箱,采用Matlab编写的PSO程序工具箱-Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option
Update : 2025-03-07 Size : 43kb Publisher : 张绍良

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multiobjective pso algorithm that give fast and good answer for most optimization problem
Update : 2025-03-07 Size : 4kb Publisher : mehdi

基于分解的多目标离散PSO在复杂网络聚类中的应用-Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition
Update : 2025-03-07 Size : 3.55mb Publisher : 倪维平

This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and 1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.
Update : 2025-03-07 Size : 423kb Publisher : yangs

Home Metaheuristics Machine Learning Multiobjective Optimization Fuzzy Systems Applications Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB ypea121-mopso Multi-Objective PSO in MATLAB in Multiobjective Optimization 8 Comments 2,599 Views Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique.- Home Metaheuristics Machine Learning Multiobjective Optimization Fuzzy Systems Applications Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB ypea121-mopso Multi-Objective PSO in MATLAB in Multiobjective Optimization 8 Comments 2,599 Views Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique.
Update : 2025-03-07 Size : 11kb Publisher : ankita

内附基本粒子群算法与多目标粒子群算法的详细介绍与MATLAB环境下的程序-Programs included PSO and multi-objective particle swarm optimization details and MATLAB Environment
Update : 2025-03-07 Size : 9kb Publisher : 袁小蕾

《MATLAB智能算法三十个案例分析》第十章 基于粒子群算法的多目标搜索算法(chapter 10 multi-objective search algorithm based on particle swarm algorithm)
Update : 2025-03-07 Size : 4kb Publisher : zhinengdong

代码实现多目标粒子群算法,多目标粒子群算法是基于parato原则进行的目标优化实现的算法。而此文件就是多此算法的代码MATLAB的一种实现(Multiobjective particle swarm optimization (PSO) algorithm)
Update : 2025-03-07 Size : 11kb Publisher : 啊啊啊的

基于粒子群算法的多目标搜索算法,优化算法(Multiobjective search algorithm based on particle swarm optimization (PSO) algorithm)
Update : 2025-03-07 Size : 2kb Publisher : 笨笨宝宝
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