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Optimization Letters

, Volume 7, Issue 1, pp 89–100 | Cite as

Efficient multi-objective tabu search for emergency equipment maintenance scheduling in disaster rescue

  • Yujun ZhengEmail author
  • Shengyong Chen
  • Haifeng Ling
Original Paper

Abstract

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.

Keywords

Multi-objective optimization Tabu search Equipment maintenance scheduling Neighboring structure 

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyZhejiang University of TechnologyHangzhouChina
  2. 2.Department of Mechanical EngineeringPLA University of Science and TechnologyNanjingChina

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