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

DSpace at IIT Bombay

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Title Performance evaluation of elitist-mutated multi-objective particle swarm optimization for integrated water resources management
 
Creator REDDY, MJ
KUMAR, DN
 
Subject ant colony optimization
multipurpose reservoir operation
genetic algorithm
mating optimization
hbmo algorithm
design
network
decision-making
multi-objective optimization
particle swarm optimization
water resources management
 
Description 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.
 
Publisher I W A PUBLISHING
 
Date 2011-07-31T08:53:44Z
2011-12-26T12:52:55Z
2011-12-27T05:39:54Z
2011-07-31T08:53:44Z
2011-12-26T12:52:55Z
2011-12-27T05:39:54Z
2009
 
Type Article
 
Identifier JOURNAL OF HYDROINFORMATICS, 11(1), 79-88
1464-7141
http://dx.doi.org/10.2166/hydro.2009.042
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8052
http://hdl.handle.net/10054/8052
 
Language en