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Accession Number DE2013-1038489
Title Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments.
Publication Date 2009
Media Count 14p
Personal Author J. St. Charles T. E. Potok X. Cui
Abstract In this paper, we present a Simple Distributed Particle Swarm Optimization (SDPSO) algorithm that can be used to track the optimal solution in a dynamic and noisy environment. The classic PSO algorithm lacks the ability to track changing optimum in a dynamic environment. Several approaches have been investigated to enhance the PSO algorithm's ability in dynamic environments. However, in dealing with dynamic environments, these approaches have lost PSO s original strengths of decentralized control and ease of implementation. The SDPSO algorithm proposed in this paper maintains these classic PSO features as well as provides the optimum result tracking capability in dynamic environments. In this research, the DF1 multimodal dynamic environment generator proposed by Morrison and De Jong is used to evaluate the classic PSO, SDPSO and other two adaptive PSOs.
Keywords Algorithms
Control systems
Distributed data processing
Dynamics
Implementation
Optimization
Particle swarm optimization
Tracking


 
Source Agency Technical Information Center Oak Ridge Tennessee
NTIS Subject Category 62 - Computers, Control & Information Theory
72B - Algebra, Analysis, Geometry, & Mathematical Logic
Corporate Author Oak Ridge National Lab., TN.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1325
Contract Number DE-AC05-00OR22725

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