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Exterior Path Relinking for Zero-One Optimization

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  • Fred Glover

    (ECEE, School of Engineering & Science, University of Colorado, Boulder, CO, USA)

Abstract

Path relinking (PR) maintains a reference set of elite and diverse solutions, and generates new solutions between and beyond initiating and guiding solutions selected from this set as a foundation for an evolutionary solution process. However, in spite of the widespread application of path relinking in combinatorial optimization, almost all PR implementations only consider the between-form of PR. This note discusses the beyond-form of path relinking, which is called Exterior Path Relinking, and focuses on its relevance for diversification strategies in binary optimization. Finally, this work also observes how to combine the Exterior (beyond) and Interior (between) forms of path relinking.

Suggested Citation

  • Fred Glover, 2014. "Exterior Path Relinking for Zero-One Optimization," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 5(3), pages 1-8, July.
    • Handle: RePEc:igg:jamc00:v:5:y:2014:i:3:p:1-8
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    Cited by:

    1. Ricardo N. Liang & Eduardo A. J. Anacleto & Cláudio N. Meneses, 2022. "Data structures for speeding up Tabu Search when solving sparse quadratic unconstrained binary optimization problems," Journal of Heuristics, Springer, vol. 28(4), pages 433-479, August.
    2. Fernando Stefanello & Vaneet Aggarwal & Luciana S. Buriol & Mauricio G. C. Resende, 2019. "Hybrid algorithms for placement of virtual machines across geo-separated data centers," Journal of Combinatorial Optimization, Springer, vol. 38(3), pages 748-793, October.
    3. Yin, Peng-Yeng & Wu, Tsai-Hung & Hsu, Ping-Yi, 2017. "Simulation based risk management for multi-objective optimal wind turbine placement using MOEA/D," Energy, Elsevier, vol. 141(C), pages 579-597.
    4. Fred Glover & Jin-Kao Hao, 2019. "Diversification-based learning in computing and optimization," Journal of Heuristics, Springer, vol. 25(4), pages 521-537, October.

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