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文件名称：Solving multiobjective problems using cat swarm optimization
文件大小：813KB
文件格式：PDF
更新时间：2014-11-29 15:32:01
猫群；优化
毛群算法，是一种智能优化算法。This paper proposes a new multiobjective evolutionary algorithm (MOEA) by extending the existing cat 19
swarm optimization (CSO). It finds the nondominated solutions along the search process using the con- 20
cept of Pareto dominance and uses an external archive for storing them. The performance of our proposed 21
approach is demonstrated using standard test functions. A quantitative assessment of the proposed 22
approach and the sensitivity test of different parameters is carried out using several performancemetrics. 23
The simulation results reveal that the proposed approach can be a better candidate for solving multiob- 24
jective problems.