A Study of Single-Objective Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization

Ming Li Song

doi:10.4028/www.scientific.net/AMM.543-547.1635

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Research on Spatial Statistical Data Compression Algorithm Based on Point Cloud Clustering
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Rotation Index-Based Vortex Extraction and High Quality Texture Advection for Surface Flow Field
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Information Entropy-Based Texture Adaptation for 3D Vector Field Visualization
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A Study of Single-Objective Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization
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An Classifying Approach Based on Fuzzy Cognitive Maps
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547A Study of Single-Objective Particle Swarm...

A Study of Single-Objective Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization

Abstract:

The complexity of optimization problems encountered in various modeling algorithms makes a selection of a proper optimization vehicle crucial. Developments in particle swarm algorithm since its origin along with its benefits and drawbacks are mainly discussed as particle swarm optimization provides a simple realization mechanism and high convergence speed. We discuss several developments for single-objective case problem and multi-objective case problem.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1635-1638

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1635

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Online since:

March 2014

Authors:

Ming Li Song*

Keywords:

Multiple-Objective PSO, Particle Swarm Optimization (PSO), Single-Objective PSO

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