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

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

研究成果: Conference contribution

1 引文 (Scopus)

摘要

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.

原文English
主出版物標題Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
頁面593-596
頁數4
DOIs
出版狀態Published - 2007 十二月 1
事件3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
持續時間: 2007 十一月 262007 十一月 28

出版系列

名字Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
2

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
國家Taiwan
城市Kaohsiung
期間07-11-2607-11-28

指紋

Oil tanks
Ant colony optimization
Scheduling
Tabu search
Oil
Optimal solution

All Science Journal Classification (ASJC) codes

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

引用此文

Hsu, C. C., Li, S-T., Chen, C. C., & Yang, T. Y. (2007). An enhanced ACO algorithm for multi-objective maintenance scheduling of oil tanks. 於 Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007. (頁 593-596). [4457779] (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.; 卷 2). https://doi.org/10.1109/IIH-MSP.2007.84
Hsu, Cheng Chung ; Li, Sheng-Tun ; Chen, Chih Chuan ; Yang, Ti Yen. / An enhanced ACO algorithm for multi-objective maintenance scheduling of oil tanks. Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. 頁 593-596 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.).
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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.",
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Hsu, CC, Li, S-T, Chen, CC & Yang, TY 2007, An enhanced ACO algorithm for multi-objective maintenance scheduling of oil tanks. 於 Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.., 4457779, Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007., 卷 2, 頁 593-596, 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007, Kaohsiung, Taiwan, 07-11-26. https://doi.org/10.1109/IIH-MSP.2007.84

An enhanced ACO algorithm for multi-objective maintenance scheduling of oil tanks. / Hsu, Cheng Chung; Li, Sheng-Tun; Chen, Chih Chuan; Yang, Ti Yen.

Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. p. 593-596 4457779 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.; 卷 2).

研究成果: Conference contribution

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N2 - 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.

AB - 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.

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Hsu CC, Li S-T, Chen CC, Yang TY. An enhanced ACO algorithm for multi-objective maintenance scheduling of oil tanks. 於 Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. p. 593-596. 4457779. (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.). https://doi.org/10.1109/IIH-MSP.2007.84