- Title
- Comparison of metaheuristic algorithms for pump operation optimization
- Creator
- Bagirov, Adil; Ahmed, S. T.; Barton, Andrew; Mala-Jetmarova, Helena; Al Nuaimat, Alia; Sultanova, Nargiz
- Date
- 2012
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/66026
- Identifier
- vital:5145
- Identifier
- ISBN:9781627481328 (ISBN)
- Abstract
- Pumping cost constitutes the main part of the overall operating cost of water distribution systems. There are different optimization formulations of the pumping cost minimization problem including those with application of continuous and integer programming approaches. To date mainly various metaheuristics have been applied to solve this problem. However, the comprehensive comparison of those metaheuristics has not been done. Such a comparison is important to identify strengths and weaknesses of different algorithms which reflects on their performance. In this paper, we present a methodology for comparative analysis of widely used metaheuristics for solving the pumping cost minimization problem. This methodology includes the following comparison criteria: (a) the "optimal solution" obtained; (b) the efficiency; and (c) robustness. Algorithms applied are: particle swarm optimization, artificial bee colony and firefly algorithms. These algorithms were applied to one test problem available in the literature. The results obtained demonstrate that the artificial bee colony is the most robust and the firefly is the most efficient and accurate algorithm for this test problem. Funding :ARC
- Publisher
- Adelaide Engineers Australia
- Relation
- 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012 Vol. 2; Adelaide, Australia; 24th-27th September 2012; p. 886-896; http://purl.org/au-research/grants/arc/LP0990908
- Rights
- Copyright Engineers Australia & American Society of Civil Engineers
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0103 Numerical and Computational Mathematics; 0102 Applied Mathematics; 0802 Computation Theory and Mathematics; Artificial bee colonies; Comparative analysis; Comparison criterion; Comprehensive comparisons; Firefly algorithms; Meta heuristic algorithm; Optimal solutions; Optimization formulations; Bioluminescence; Cost benefit analysis; Costs; Heuristic algorithms; Integer programming; Particle swarm optimization (PSO); Pumps; Systems analysis; Water distribution systems
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