Description: 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. Platform: |
Size: 18167808 |
Author:杨经纬 |
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Description: 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 Platform: |
Size: 44032 |
Author:张绍良 |
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Description: 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. Platform: |
Size: 433152 |
Author:yangs |
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Description:
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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. Platform: |
Size: 11264 |
Author:ankita |
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