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Design of Iterated Local Search Algorithms

An Example Application to the Single Machine Total Weighted Tardiness Problem

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Applications of Evolutionary Computing (EvoWorkshops 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2037))

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Abstract

In this article we investigate the application of iterated local search (ILS) to the single machine total weighted tardiness problem. Our research is inspired by the recently proposed iterated dynasearch approach, which was shown to be a very effective ILS algorithm for this problem. In this paper we systematically configure an ILS algorithms by optimizing the single procedures part of ILS and optimizing their interaction. We come up with a highly effective ILS approach, which outperforms our implementation of the iterated dynasearch algorithm on the hardest benchmark instances.

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den Besten, M., Stützle, T., Dorigo, M. (2001). Design of Iterated Local Search Algorithms. In: Boers, E.J.W. (eds) Applications of Evolutionary Computing. EvoWorkshops 2001. Lecture Notes in Computer Science, vol 2037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45365-2_46

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  • DOI: https://doi.org/10.1007/3-540-45365-2_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41920-4

  • Online ISBN: 978-3-540-45365-9

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