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Economic Dispatch Using Parameter‐Setting‐Free Harmony Search

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  • Zong Woo Geem

Abstract

Economic dispatch is one of the popular energy system optimization problems. Recently, it has been solved by various phenomenon‐mimicking metaheuristic algorithms such as genetic algorithm, tabu search, evolutionary programming, particle swarm optimization, harmony search, honey bee mating optimization, and firefly algorithm. However, those phenomenon‐mimicking problems require a tedious and troublesome process of algorithm parameter value setting. Without a proper parameter setting, good results cannot be guaranteed. Thus, this study adopts a newly developed parameter‐setting‐free technique combined with the harmony search algorithm and applies it to the economic dispatch problem for the first time, obtaining good results. Hopefully more researchers in energy system fields will adopt this user‐friendly technique in their own problems in the future.

Suggested Citation

  • Zong Woo Geem, 2013. "Economic Dispatch Using Parameter‐Setting‐Free Harmony Search," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:427936
    DOI: 10.1155/2013/427936
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    References listed on IDEAS

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    1. Ali Haghighi & Amin Bakhshipour, 2012. "Optimization of Sewer Networks Using an Adaptive Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3441-3456, September.
    2. Niknam, Taher & Mojarrad, Hasan Doagou & Meymand, Hamed Zeinoddini & Firouzi, Bahman Bahmani, 2011. "A new honey bee mating optimization algorithm for non-smooth economic dispatch," Energy, Elsevier, vol. 36(2), pages 896-908.
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    Cited by:

    1. Mohammed Azmi Al-Betar & Ahamad Tajudin Khader & Mohammed A. Awadallah & Mahmmoud Hafsaldin Alawan & Belal Zaqaibeh, 2013. "Cellular Harmony Search for Optimization Problems," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    2. Oh, Eunsung & Geem, Zong Woo, 2025. "Exploring harmony search for power system optimization: applications, formulations, and open problems," Applied Energy, Elsevier, vol. 398(C).

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