Abstract
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.
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Moser, I., Hendtlass, T. (2006). On the Behaviour of Extremal Optimisation When Solving Problems with Hidden Dynamics. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_33
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DOI: https://doi.org/10.1007/11779568_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
Online ISBN: 978-3-540-35454-3
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