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Clonal Selection Algorithm for Dynamic Multiobjective Optimization

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Book cover Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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Abstract

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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Shang, R., Jiao, L., Gong, M., Lu, B. (2005). Clonal Selection Algorithm for Dynamic Multiobjective Optimization. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_125

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  • DOI: https://doi.org/10.1007/11596448_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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