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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/232
Title: Solving multiobjective problems using cat swarm optimization
Authors: Pradhan P.M.
Panda G.
Keywords: Cat swarm optimization
Evolutionary algorithm
Multiobjective cat swarm optimization
Multiobjective problems
Pareto dominance
Swarm optimization
Issue Date: 2012
Citation: 116
Abstract: This paper proposes a new multiobjective evolutionary algorithm (MOEA) by extending the existing cat swarm optimization (CSO). It finds the nondominated solutions along the search process using the concept of Pareto dominance and uses an external archive for storing them. The performance of our proposed approach is demonstrated using standard test functions. A quantitative assessment of the proposed approach and the sensitivity test of different parameters is carried out using several performance metrics. The simulation results reveal that the proposed approach can be a better candidate for solving multiobjective problems (MOPs). � 2011 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2011.08.157
http://10.10.32.48:8080/jspui/handle/2008/232
Appears in Collections:Research Publications

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