Emergence of Diversity and its Benefits for Crossover in Genetic Algorithms

Dang, D., Friedrich, T., Kötzing, T. et al. (5 more authors) (2016) Emergence of Diversity and its Benefits for Crossover in Genetic Algorithms. In: Parallel Problem Solving from Nature – PPSN XIV. Parallel Problem Solving from Nature (PPSN 2016), 17th - 21st Sep, 2016, Edinburgh, UK. Lecture Notes in Computer Science, 9921 . Springer International Publishing .

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 Springer International Publishing AG. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Genetic algorithms; crossover; diversity; runtime analysis; theory
Dates:
  • Accepted: 30 May 2016
  • Published: 31 August 2016
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: 29 Jun 2016 10:24
Last Modified: 03 Nov 2016 08:27
Published Version: http://dx.doi.org/10.1007/978-3-319-45823-6_83
Status: Published
Publisher: Springer International Publishing
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-45823-6_83

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