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14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02)   p. 209
Maintenance Scheduling of Oil Storage Tanks Using Tabu-Based Genetic Algorithm
Sheng-Tun Li, National Kaohsiung First University of Science and Technology
Chuan-Kang Ting, National Sun Yat-Sen University
Chungnan Lee, National Sun Yat-Sen University
Shu-Ching Chen, Florida International University

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180806
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Abstract
Due to the entry of Taiwan into WTO and the recently liberalized Petroleum Management Law, the oil market in Taiwan is liberalized and thus is becoming more competitive. However, the space limitation and the residents’ increasing awareness of environmental protection issues in the island make international vendors unavoidably have to rent tanks from domestic oil companies. In order to help the leaseholder maximize revenue by increasing the availability of tanks, an efficient maintenance scheduling is needed. This paper introduces a tabu-based genetic algorithm (TGA) and its implementation for solving a real-world maintenance scheduling problem of oil storage tanks. TGA incorporates a tabu list to prevent inbreeding and utilizes an aspiration criterion to supply moderate selection pressure so that the selection efficiency is improved, and the population diversity is maintained. The experimental results validate that TGA outperform GA in terms of solution quality and convergence efficiency.
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Index Terms- Tabu-based genetic algorithm, maintenance scheduling, tabu search, genetic algorithm Citation:  Sheng-Tun Li, Chuan-Kang Ting, Chungnan Lee, Shu-Ching Chen, "Maintenance Scheduling of Oil Storage Tanks Using Tabu-Based Genetic Algorithm," ictai, p. 209,  14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02),  2002