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: A new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform Platform: |
Size: 6313984 |
Author:jamal |
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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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Description: The document details research on using a multi-objective optimization algorithm to optimize DG size and location on distribution networks Platform: |
Size: 1392640 |
Author:Boboshanten |
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Description: 多目标进化算法框架，包括MOEAD、NSGA2等经典多目标进化算法。-The MOEA Framework is a free and open source Java library for developing and
experimenting with multiobjective evolutionary algorithms (MOEAs) and other
general-purpose multiobjective optimization algorithms. The MOEA Framework
supports genetic algorithms, differential evolution, particle swarm
optimization, genetic programming, grammatical evolution, and more. A number of
algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, 蔚-MOEA,
GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary
to rapidly design, develop, and statistically test optimization
algorithms. Platform: |
Size: 14963712 |
Author:梁艳芳 |
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Description: 多目标粒子群优化程序比较经典的希望对大家有帮助(The multiobjective particle swarm optimization program is more classic and helpful for everyone) Platform: |
Size: 10240 |
Author:`奔跑吧小李 |
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