Journal
OPTIMIZATION LETTERS
Volume 7, Issue 1, Pages 89-100Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11590-011-0397-9
Keywords
Multi-objective optimization; Tabu search; Equipment maintenance scheduling; Neighboring structure
Funding
- National Natural Science Foundation [60870002, 61105073, 61173096, 61020106009]
- Zhejiang Provincial Natural Science Foundation of China [R1110679]
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The paper describes a mathematical model of the emergency equipment maintenance scheduling problem particularly in disaster rescue operations, which aims to achieve a good balance between operational capability achieved by maintenance, cost-effectiveness, maintenance risks, and reserved maintenance capability for sustainable operations. We design a compact solution encoding that greatly facilitates the search process, and develop an efficient multi-objective tabu search algorithm that evolves a set of solutions towards the Pareto optimal frontier, using a weighted function based on the decision-maker's preference to guide the search procedures. Simulation experiments and real-world application results demonstrate the effectiveness of our approach.
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