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  • Volume 11, Issue 1

Performance evaluation of elitist-mutated multi-objective particle swarm optimization for integrated water resources management

M. Janga Reddy, D. Nagesh Kumar
Published January 2009, 11 (1) 79-88; DOI: 10.2166/hydro.2009.042
M. Janga Reddy
Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India
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D. Nagesh Kumar
Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, India E-mail: nagesh@civil.iisc.ernet.in
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Abstract

Optimal allocation of water resources for various stakeholders often involves considerable complexity with several conflicting goals, which often leads to multi-objective optimization. In aid of effective decision-making to the water managers, apart from developing effective multi-objective mathematical models, there is a greater necessity of providing efficient Pareto optimal solutions to the real world problems. This study proposes a swarm-intelligence-based multi-objective technique, namely the elitist-mutated multi-objective particle swarm optimization technique (EM-MOPSO), for arriving at efficient Pareto optimal solutions to the multi-objective water resource management problems. The EM-MOPSO technique is applied to a case study of the multi-objective reservoir operation problem. The model performance is evaluated by comparing with results of a non-dominated sorting genetic algorithm (NSGA-II) model, and it is found that the EM-MOPSO method results in better performance. The developed method can be used as an effective aid for multi-objective decision-making in integrated water resource management.

  • decision-making
  • multi-objective optimization
  • particle swarm optimization
  • water resources management
  • Received September 16, 2007.
  • Accepted August 28, 2008.
  • © IWA Publishing 2009
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Journal of Hydroinformatics: 20 (2)
  Volume 11, Issue 1

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Performance evaluation of elitist-mutated multi-objective particle swarm optimization for integrated water resources management
M. Janga Reddy, D. Nagesh Kumar
Journal of Hydroinformatics Jan 2009, 11 (1) 79-88; DOI: 10.2166/hydro.2009.042
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Performance evaluation of elitist-mutated multi-objective particle swarm optimization for integrated water resources management
M. Janga Reddy, D. Nagesh Kumar
Journal of Hydroinformatics Jan 2009, 11 (1) 79-88; DOI: 10.2166/hydro.2009.042

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Keywords

decision-making
multi-objective optimization
particle swarm optimization
water resources management
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