Journal
PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)
Volume -, Issue -, Pages 93-94Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3319619.3326780
Keywords
Resource allocation; maritime oil spill accident; bi-objective model; uncertainty; fuzzy programming; NSGA-2
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Emergency resource allocation is an important issue in emergency response to marine oil spill accident. This paper addresses an emergency resource allocation problem which involves multiple relief resource center and one accident point. To solve this problem, a bi-objective model is constructed to minimize the disposal time and the disposal costs. Due to the existence of uncertainty in different aspects involved in the emergency response to the marine oil spill, we also incorporated into the model some fuzzy parameters. An algorithm based on the non-dominated sorting genetic algorithm 2 and the differential evolution algorithm, was presented to obtain the Pareto set. The technique for order preference by similarity to ideal solution method was employed to reach a final compromise solution. A case was studied to demonstrate the effectiveness of the proposed model and the hybrid algorithm, which can support the decision making in the process of the oil spill emergency disposal.
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