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A Simulated Annealing Algorithm for the Satisfiability Problem Using Dynamic Markov Chains with Linear Regression Equilibrium

In: Simulated Annealing - Advances, Applications and Hybridizations

Author

Listed:
  • Felix O Martinez-Rios
  • Juan Frausto-Solis

Abstract

No abstract is available for this item.

Suggested Citation

  • Felix O Martinez-Rios & Juan Frausto-Solis, 2012. "A Simulated Annealing Algorithm for the Satisfiability Problem Using Dynamic Markov Chains with Linear Regression Equilibrium," Chapters, in: Marcos S.G. Tsuzuki (ed.), Simulated Annealing - Advances, Applications and Hybridizations, IntechOpen.
    • Handle: RePEc:ito:pchaps:76982
    DOI: 10.5772/46175
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    Cited by:

    1. Li, Wei-Qin & Chang, Li, 2018. "A combination model with variable weight optimization for short-term electrical load forecasting," Energy, Elsevier, vol. 164(C), pages 575-593.
    2. Kaboli, S. Hr. Aghay & Selvaraj, J. & Rahim, N.A., 2016. "Long-term electric energy consumption forecasting via artificial cooperative search algorithm," Energy, Elsevier, vol. 115(P1), pages 857-871.

    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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