A Self-adaptive immune PSO algorithm for constrained optimization problems

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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. © 2010 Springer-Verlag.

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Ouyang, A., Zhou, G., & Zhou, Y. (2010). A Self-adaptive immune PSO algorithm for constrained optimization problems. In Communications in Computer and Information Science (Vol. 107 CCIS, pp. 208–217). https://doi.org/10.1007/978-3-642-16388-3_23

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