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A Scatter Search Approach for Multiobjective Selective Disassembly Sequence Problem

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  • Xiwang Guo
  • Shixin Liu

Abstract

Disassembly sequence has received much attention in recent years. This work proposes a multiobjective optimization of model for selective disassembly sequences and maximizing disassembly profit and minimizing disassembly time. An improved scatter search (ISS) is adapted to solve proposed multiobjective optimization model, which embodies diversification generation of initial solutions, crossover combination operator, the local search strategy to improve the quality of new solutions, and reference set update method. To analyze the effect on the performance of ISS, simulation experiments are conducted on different products. The validity of ISS is verified by comparing the optimization effects of ISS and nondominated sorting genetic algorithm (NSGA-II).

Suggested Citation

  • Xiwang Guo & Shixin Liu, 2014. "A Scatter Search Approach for Multiobjective Selective Disassembly Sequence Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-9, November.
  • Handle: RePEc:hin:jnddns:756891
    DOI: 10.1155/2014/756891
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    Cited by:

    1. A. D. López-Sánchez & J. Sánchez-Oro & M. Laguna, 2021. "A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 629-642, May.

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