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

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

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages212-217
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China
Duration: 2011 Dec 162011 Dec 18

Conference

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

Keywords

  • Bayesian network
  • coevolutionary algorithm
  • Estimization of distribution
  • multiple resources scheduling

ASJC Scopus subject areas

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Science Applications

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  • Cite this

    Hao, X., Chen, X., Lin, H. W., & Murata, T. (2011). Cooperative Bayesian optimization algorithm: A novel approach to simultaneous multiple resources scheduling problem. 212-217. Paper presented at 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011, Shenzhen, Guangdong, China. https://doi.org/10.1109/IBICA.2011.57