Computational properties of hybrid methods with PSO and de

Kenichi Muranaka, Eitaro Aiyoshi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we present a new type of hybrid methods for global optimization with particle swarm optimization (PSO) and differential evolution (DE), which have been attracting interest as heuristic and global optimization methods. Concretely, "p-best solutions" as the targets of PSO's particles are actuated by DE's evolutional mechanism in order to promote PSO's global searching ability. The presented hybrid method works effectively because PSO acts as a local optimizer and DE plays a role as a global optimizer. To evaluate performance of the hybridization, our method is applied to some benchmarks and is compared with the separated PSO and DE. Through computer simulations, it is demonstrated that the proposed hybrid method performs rather better than the component algorithms separately.

Original languageEnglish
Pages (from-to)58-66
Number of pages9
JournalElectronics and Communications in Japan
Volume97
Issue number4
DOIs
Publication statusPublished - 2014 Apr

Fingerprint

Differential Evolution
Hybrid Method
Particle swarm optimization (PSO)
Particle Swarm Optimization
Global Optimization
optimization
Global optimization
Heuristic Optimization
Optimization Methods
Computer Simulation
Benchmark
Target
Evaluate
computerized simulation
Computer simulation

Keywords

  • differential evolution
  • global search
  • hybrid method
  • metaheuristics
  • particle swarm optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Physics and Astronomy(all)
  • Signal Processing
  • Applied Mathematics

Cite this

Computational properties of hybrid methods with PSO and de. / Muranaka, Kenichi; Aiyoshi, Eitaro.

In: Electronics and Communications in Japan, Vol. 97, No. 4, 04.2014, p. 58-66.

Research output: Contribution to journalArticle

Muranaka, Kenichi ; Aiyoshi, Eitaro. / Computational properties of hybrid methods with PSO and de. In: Electronics and Communications in Japan. 2014 ; Vol. 97, No. 4. pp. 58-66.
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