대한산업공학회지 (Journal of Korean Institute of Industrial Engineers)

  • 제37권3호
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  • Pages.163-170
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  • 2011
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  • 1225-0988(pISSN)
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  • 2234-6457(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
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새로운 위상 기반의 Particle Swarm Optimization 알고리즘 : 정보파급 PSO

A Modified Particle Swarm Optimization Algorithm : Information Diffusion PSO

  • 박준혁 (미국 Institute of Information Technology사) ;
  • 김병인 (포항공과대학교 산업경영공학과)
  • Park, Jun-Hyuk (Institute of Information Technology, Inc.) ;
  • Kim, Byung-In (Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH))
  • 투고 : 2011.05.05
  • 심사 : 2011.06.07
  • 발행 : 2011.09.01
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초록

This paper proposes a modified version of Particle Swarm Optimization (PSO) called Information Diffusion PSO (ID-PSO). In PSO algorithms, premature convergence of particles could be prevented by defining proper population topology. In this paper, we propose a variant of PSO algorithm using a new population topology. We draw inspiration from the theory of information diffusion which models the transmission of information or a rumor as one-to-one interactions between people. In ID-PSO, a particle interacts with only one particle at each iteration and they share their personal best solutions and recognized best solutions. Each particle recognizes the best solution that it has experienced or has learned from another particle as the recognized best. Computational experiments on the benchmark functions show the effectiveness of the proposed algorithm compared with the existing methods which use different population topologies.

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참고문헌

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