An enhanced ACO algorithm for multi-objective maintenance scheduling of oil tanks

Cheng Chung Hsu, Sheng-Tun Li, Chih Chuan Chen, Ti Yen Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, an enhanced ant colony optimization algorithm (EA COA) is proposed for the multi-objective maintenance scheduling of oil tanks. In the algorithm, tabu search is incorporated into ant colony optimization. Through a decreasing probability function, the proposed algorithm improves ant colony optimization is easy to trap in local optimum and hence the optimal solution to the scheduling problem can be effectively achieved. Experimental results demonstrated the effectiveness and feasibility of the algorithm for the scheduling problem considered. The Pareto-optimal solutions found effectively help decision-makers arrange maintenance scheduling tasks.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages593-596
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
Duration: 2007 Nov 262007 Nov 28

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume2

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
CountryTaiwan
CityKaohsiung
Period07-11-2607-11-28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management

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