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Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem

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  • García-Martínez, C.
  • Rodriguez, F.J.
  • Lozano, M.

Abstract

Iterated greedy search is a simple and effective metaheuristic for combinatorial problems. Its flexibility enables the incorporation of components from other metaheuristics with the aim of obtaining effective and powerful hybrid approaches. We propose a tabu-enhanced destruction mechanism for iterated greedy search that records the last removed objects and avoids removing them again in subsequent iterations. The aim is to provide a more diversified and successful search process with regards to the standard destruction mechanism, which selects the solution components for removal completely at random.

Suggested Citation

  • García-Martínez, C. & Rodriguez, F.J. & Lozano, M., 2014. "Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem," European Journal of Operational Research, Elsevier, vol. 232(3), pages 454-463.
    • Handle: RePEc:eee:ejores:v:232:y:2014:i:3:p:454-463
    DOI: 10.1016/j.ejor.2013.07.035
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    Cited by:

    1. Oliver G. Czibula & Hanyu Gu & Yakov Zinder, 2018. "Planning personnel retraining: column generation heuristics," Journal of Combinatorial Optimization, Springer, vol. 36(3), pages 896-915, October.
    2. Diaz, Juan Esteban & Handl, Julia & Xu, Dong-Ling, 2018. "Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system," European Journal of Operational Research, Elsevier, vol. 266(3), pages 976-989.
    3. Yuning Chen & Jin-Kao Hao, 2015. "Iterated responsive threshold search for the quadratic multiple knapsack problem," Annals of Operations Research, Springer, vol. 226(1), pages 101-131, March.
    4. Carlos García-Martínez & Fred Glover & Francisco Rodriguez & Manuel Lozano & Rafael Martí, 2014. "Strategic oscillation for the quadratic multiple knapsack problem," Computational Optimization and Applications, Springer, vol. 58(1), pages 161-185, May.

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