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Published in:
2006 | OriginalPaper | Chapter
A Comparison of Clonal Selection Based Algorithms for Non-Stationary Optimisation Tasks
Authors : Krzysztof Trojanowski, Sławomir T. Wierzchoń
Published in: Intelligent Information Processing and Web Mining
Publisher: Springer Berlin Heidelberg
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Mammalian immune system and especially clonal selection principle, responsible for coping with external intruders, is an inspiration for a set of heuristic optimization algorithms. Below, a few of them are compared on a set of nonstationary optimization benchmarks. One of the algorithms is our proposal, called AIIA (Artificial Immune Iterated Algorithm). We compare two versions of this algorithm with two other well known algorithms. The results show that all the algorithms based on clonal selection principle can be quite efficient tools for nonstationary optimization.