期刊
INFORMATION SCIENCES
卷 179, 期 10, 页码 1495-1515出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2008.11.014
关键词
Clonal selection; Heuristic optimization; Dynamic optimization
The main problem with biologically inspired algorithms (like evolutionary algorithms or particle swarm optimization) when applied to dynamic optimization is to force their readiness for continuous search for new optima occurring in changing locations. Immune-based algorithm, being an instance of an algorithm that adapt by innovation seem to be a perfect candidate for continuous exploration of a search space. In this paper we describe various implementations of the immune principles and we compare these instantiations on complex environments. (c) 2008 Elsevier Inc. All rights reserved.
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