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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Ochoa, Gabriela
Walker, James
Hyde, Matthew
Curtois, Tim
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Title: Adaptive evolutionary algorithms and extensions to the HyFlex hyper-heuristic framework
Editors: Coello, Coello CA
Cutello, V
Deb, K
Forrest, S
Nicosia, G
Pavone, M
Citation: Ochoa G, Walker J, Hyde M & Curtois T (2012) Adaptive evolutionary algorithms and extensions to the HyFlex hyper-heuristic framework In: Coello Coello CA, Cutello V, Deb K, Forrest S, Nicosia G, Pavone M (ed.) Parallel Problem Solving from Nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II, Amsterdam: Springer. 12th International Conference, 1.9.2012 - 5.9.2012, Taormina, Italy, pp. 418-427.
Issue Date: 2012
Series/Report no.: Lecture Notes in Computer Science, Vol. 7492
Conference Name: 12th International Conference
Conference Dates: 2012-09-01T00:00:00Z
Conference Location: Taormina, Italy
Abstract: HyFlex is a recently proposed software framework for implementing hyper-heuristics and domain-independent heuristic optimisation algorithms [13]. Although it was originally designed to implement hyper-heuristics, it provides a population and a set of move operators of different types. This enable the implementation of adaptive versions of other heuristics such as evolutionary algorithms and iterated local search. The contributions of this article are twofold. First, a number of extensions to the HyFlex framework are proposed and implemented that enable the design of more effective adaptive heuristics. Second, it is demonstrated that adaptive evolutionary algorithms can be implemented within the framework, and that the use of crossover and a diversity metric produced improved results, including a new best-known solution, on the studied vehicle routing problem.
Type: Conference Paper
Status: Book Chapter: publisher version
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Computing Science - CSM Dept
University of Nottingham
University of Nottingham
University of Nottingham

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