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Solving multiobjective problems using cat swarm optimization
- Source :
-
Expert Systems with Applications . Feb2012, Vol. 39 Issue 3, p2956-2964. 9p. - Publication Year :
- 2012
-
Abstract
- 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). [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 39
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 67137743
- Full Text :
- https://doi.org/10.1016/j.eswa.2011.08.157