Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization

Omid Haddad (), Abbas Afshar and Miguel Mariño

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2006, vol. 20, issue 5, 680 pages

Abstract: Over the last decade, evolutionary and meta-heuristic algorithms have been extensively used as search and optimization tools in various problem domains, including science, commerce, and engineering. Their broad applicability, ease of use, and global perspective may be considered as the primary reason for their success. The honey-bees mating process may also be considered as a typical swarm-based approach to optimization, in which the search algorithm is inspired by the process of real honey-bees mating. In this paper, the honey-bees mating optimization algorithm (HBMO) is presented and tested with few benchmark examples consisting of highly non-linear constrained and/or unconstrained real-valued mathematical models. The performance of the algorithm is quite comparable with the results of the well-developed genetic algorithm. The HBMO algorithm is also applied to the operation of a single reservoir with 60 periods with the objective of minimizing the total square deviation from target demands. Results obtained are promising and compare well with the results of other well-known heuristic approaches. Copyright Springer Science+Business Media, Inc. 2006

Keywords: honey-bees mating optimization; genetic algorithm; heuristic search; non-linear optimization; single-reservoir operation (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (26)

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DOI: 10.1007/s11269-005-9001-3

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