Solving multiobjective problems using cat swarm optimization |
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Authors: | Pyari Mohan Pradhan Ganapati Panda |
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Affiliation: | School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, India |
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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). |
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Keywords: | Multiobjective problems Evolutionary algorithm Swarm optimization Cat swarm optimization Multiobjective cat swarm optimization Pareto dominance |
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