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A multipopulation cultural algorithm for the electrical generator scheduling problem

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  • Digalakis, Jason G
  • Margaritis, Konstantinos G

Abstract

The electrical generator maintenance scheduling problem has been tackled by a variety of traditional optimisation techniques over the years. This paper proposes a method to solve the maintenance scheduling problem, called the parallel co-operating cultural algorithm (PARCA). In the proposed model, a variety of selection mechanisms, operators, communication methods, and local search procedures are applied to each solution generated by genetic operators and parameters as explained in the sequel. Our cultural algorithm framework combines the weak search method with the knowledge representation scheme for collecting and reasoning knowledge about individual experience.

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  • Digalakis, Jason G & Margaritis, Konstantinos G, 2002. "A multipopulation cultural algorithm for the electrical generator scheduling problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 60(3), pages 293-301.
    • Handle: RePEc:eee:matcom:v:60:y:2002:i:3:p:293-301
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    References listed on IDEAS

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    1. Taillard, E., 1993. "Benchmarks for basic scheduling problems," European Journal of Operational Research, Elsevier, vol. 64(2), pages 278-285, January.
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    Cited by:

    1. Coelho, Leandro dos Santos & Souza, Rodrigo Clemente Thom & Mariani, Viviana Cocco, 2009. "Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3136-3147.
    2. Froger, Aurélien & Gendreau, Michel & Mendoza, Jorge E. & Pinson, Éric & Rousseau, Louis-Martin, 2016. "Maintenance scheduling in the electricity industry: A literature review," European Journal of Operational Research, Elsevier, vol. 251(3), pages 695-706.

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