Escaping Local Optima Using Crossover with Emergent Diversity

Dang, D.C., Friedrich, T., Kötzing, T. et al. (5 more authors) (2017) Escaping Local Optima Using Crossover with Emergent Diversity. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Genetic algorithms; recombination; diversity; run time analysis; theory
Dates:
  • Published (online): 29 August 2017
  • Accepted: 5 July 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7SAGE - 138086
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/M004252/1
European Cooperation in Science and TechnologyCA15140
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jul 2017 11:36
Last Modified: 07 Nov 2018 13:08
Published Version: https://doi.org/10.1109/TEVC.2017.2724201
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TEVC.2017.2724201

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