Solving dynamic combinatorial problems poses a particular challenge to optimisation algorithms. Optimising a problem that does not notify the solver when a change has been made is very difficult for most well-known algorithms. Extremal Optimisation is a recent addition to the group of biologically inspired optimisation algorithms. Due to Its extremely simple functionality, it Is likely that the algorithm can be applied successfully in such a dynamic environment. This document examines the capabilities of Extremal Optimisation to solve a dynamic problem with a large variety of different changes that are not explicitly announced to the solver. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Moser, I., & Hendtlass, T. (2006). On the behaviour of extremal optimisation when solving problems with hidden dynamics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4031 LNAI, pp. 292–301). Springer Verlag. https://doi.org/10.1007/11779568_33
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