Abstract
This paper proposes a new adaptive immune particle swarm optimization (AIA-PSO) algorithm, which can perform solve nonlinear constraints optimization problems. Eight common Benchmark functions and three practical examples show that the AIA-PSO algorithm is effective and practical.
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Ouyang, A., Zhou, G., Zhou, Y. (2010). A Self-adaptive Immune PSO Algorithm for Constrained Optimization Problems. In: Cai, Z., Tong, H., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2010. Communications in Computer and Information Science, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16388-3_23
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DOI: https://doi.org/10.1007/978-3-642-16388-3_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16387-6
Online ISBN: 978-3-642-16388-3
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