The global optimization with the PSO coupling type discrete gradient chaos model

Takashi Okamoto, Eitaro Aiyoshi

研究成果: Article査読


In this paper, we propose a new multi-agent discrete gradient chaos model using a coupling structure which PSO has. Concretely, firstly, we introduce a multi-agent type optimization model whose agents search autonomously with the discrete gradient chaos model which is the simplest dynamical global search model, and they are coupled by convective coupling. Convective coupling in this model is used to aim at a overcoming of emergence of boundary crisis which is a problem of original discrete gradient chaos model. Secondary, we introduce PSO coupling structure, where population drifts to the gbest and the pbest, into discrete gradient chaos model. Then, we propose "PSO coupling type discrete gradient chaos model" with the search strategy based on objective function's value. In this paper, our proposal models are applied to several benchmark problems. The results show that our proposed models have better global optimization ability than original discrete gradient chaos model and PSO model.

ジャーナルIEEJ Transactions on Electronics, Information and Systems
出版ステータスPublished - 2006

ASJC Scopus subject areas

  • 電子工学および電気工学


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