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Instance-specific multi-objective parameter tuning based on fuzzy logic

Author

Listed:
  • Ries, Jana
  • Beullens, Patrick
  • Salt, David

Abstract

Finding good parameter values for meta-heuristics is known as the parameter setting problem. A new parameter tuning strategy, called IPTS, is proposed that is a novel instance-specific method to take the trade-off between solution quality and computational time into consideration. Two important steps in the method are an a priori statistical analysis to identify the factors that determine heuristic performance in both quality and time for a specific type of problem, and the transformation of these insights into a fuzzy inference system rule base which aims to return parameter values on the Pareto-front with respect to a decision maker’s preference.

Suggested Citation

  • Ries, Jana & Beullens, Patrick & Salt, David, 2012. "Instance-specific multi-objective parameter tuning based on fuzzy logic," European Journal of Operational Research, Elsevier, vol. 218(2), pages 305-315.
  • Handle: RePEc:eee:ejores:v:218:y:2012:i:2:p:305-315
    DOI: 10.1016/j.ejor.2011.10.024
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    References listed on IDEAS

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    1. Voudouris, Christos & Tsang, Edward, 1999. "Guided local search and its application to the traveling salesman problem," European Journal of Operational Research, Elsevier, vol. 113(2), pages 469-499, March.
    2. Roodbergen, Kees Jan & de Koster, Rene, 2001. "Routing order pickers in a warehouse with a middle aisle," European Journal of Operational Research, Elsevier, vol. 133(1), pages 32-43, August.
    3. Beullens, Patrick & Muyldermans, Luc & Cattrysse, Dirk & Van Oudheusden, Dirk, 2003. "A guided local search heuristic for the capacitated arc routing problem," European Journal of Operational Research, Elsevier, vol. 147(3), pages 629-643, June.
    4. Bowerman, Robert & Hall, Brent & Calamai, Paul, 1995. "A multi-objective optimization approach to urban school bus routing: Formulation and solution method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(2), pages 107-123, March.
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