Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
395566 | Information Sciences | 2009 | 21 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Krzysztof Trojanowski, Sławomir T. Wierzchoń,