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Published in:
2005 | OriginalPaper | Chapter
Clonal Selection Algorithm for Dynamic Multiobjective Optimization
Authors : Ronghua Shang, Licheng Jiao, Maoguo Gong, Bin Lu
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
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Based on the clonal selection theory, a new Dynamic Multiobjective Optimization (DMO) algorithm termed as Clonal Selection Algorithm for DMO (CSADMO) is presented. The clonal selection, the nonuniform mutation and the distance method are three main operators in the algorithm. CSADMO is designed for solving continuous DMO and is tested on two test problems. The simulation results show that CSADMO outperforms another Dynamic Evolutionary Multiobjective Optimization (EMO) Algorithm: a Direction-Based Method (DBM ) in terms of finding a diverse set of solutions and in converging near the true Pareto-optimal front (POF) in each time step.