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A self-adaptive immune PSO algorithm for constrained optimization problems. (English) Zbl 1206.90227
Cai, Zhihua (ed.) et al., Computational intelligence and intelligent systems. 5th international symposium, ISICA 2010, Wuhan, China, October 22–24, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16387-6/pbk; 978-3-642-16388-3/ebook). Communications in Computer and Information Science 107, 208-217 (2010).
Summary: This paper proposes a new adaptive immune particle swarm optimization (AIA-PSO) algorithm, which can solve nonlinear constraints optimization problems. Eight common benchmark functions and three practical examples show that the AIA-PSO algorithm is effective and practical.
For the entire collection see [Zbl 1201.68002].
90C59 Approximation methods and heuristics in mathematical programming
90C30 Nonlinear programming
Full Text: DOI
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