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Optimal equipment assignment for oil spill response using a genetic algorithm

Published:13 July 2019Publication History

ABSTRACT

We propose a genetic algorithm (GA)-based optimal equipment assignment method for oil spill response. We devised a repair operation suitable for constrained equipment assignment. In addition, the assignment strategies were evaluated by simulation to ensure that it would conform to current South Korean standards. At sixteen locations in South Korea, the assignment for the response work optimized by the GA took 1.1% less time on average than the current assignment. Furthermore, an optimal assignment was determined, which achieved a 29% reduction in the total capacity of the oil skimmers compared to the current standard.

References

  1. Harilaos N. Psaraftis, Geverghese G. Tharakan, and Avishai Ceder. 1986. Optimal Response to Oil Spills: The Strategic Decision Case. Operations Research 34, 2 (April 1986), 190--330. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jong-Hwui Yun, Dong-O Jo, Seunggi Guk, Yeongro Choi, Wondon Kim, Gyeong-Woo Jo, Dong-Hyeon Choi, Sang-Goo Kim, Jung-Hwan Moon, Ha-Yong Jang, Yeong-Nam Park, Eunmi Guk, and Eunbi Park. 2009. A Study on Practical Strategies for Estimating the National Control Ability of Oil Spill Control. Korea Maritime and Ocean University Technical Report. Korea Coast Guard.Google ScholarGoogle Scholar

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  1. Optimal equipment assignment for oil spill response using a genetic algorithm

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      cover image ACM Conferences
      GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion
      July 2019
      2161 pages
      ISBN:9781450367486
      DOI:10.1145/3319619

      Copyright © 2019 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 July 2019

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