Cooperative Bayesian optimization algorithm: A novel approach to simultaneous multiple resources scheduling problem

X. Hao*, X. Chen, H. W. Lin, T. Murata

*この研究の対応する著者

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

During the past several years, there has been a significant amount of research conducted simultaneous multiple resources scheduling problem (SMRSP) Intelligence manufacturing based on meta-heuristics, such as genetic algorithms (GAs), simulated annealing (SA) particle swarm optimization(PSO), has become a common tool to find satisfactory solutions within reasonable computational times in real settings. However, there are few researches considering interdependent relation during the decision activities, moreover for complex and large problems, local constraints and objectives from each managerial entity cannot be effectively represented in a single model for complex and large problems. In this paper, we propose a novel cooperative Bayesian optimization algorithm (COBOA) undertaking divide-and-conquer strategy and co-evolutionary framework. Considerable experiments are conducted and the results confirmed that COBOA outperforms recent researches for the scheduling problem in FMS.

本文言語English
ページ212-217
ページ数6
DOI
出版ステータスPublished - 2011 12月 1
イベント2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China
継続期間: 2011 12月 162011 12月 18

Conference

Conference2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
国/地域China
CityShenzhen, Guangdong
Period11/12/1611/12/18

ASJC Scopus subject areas

  • バイオテクノロジー
  • 計算理論と計算数学
  • コンピュータ サイエンスの応用

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