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), 17-21 Sep 2016, Edinburgh, UK. Lecture Notes in Computer Science, 9921 . Springer International Publishing

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Item Type: Proceedings Paper
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:
  • Published: 31 August 2016
  • Accepted: 30 May 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION - FP6/FP7
SAGE - 138086
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)
EP/M004252/1
European Cooperation in Science and Technology
CA15140
Depositing User: Symplectic Sheffield
Date Deposited: 29 Jun 2016 10:24
Last Modified: 19 Dec 2022 13:34
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: 10.1007/978-3-319-45823-6_83
Open Archives Initiative ID (OAI ID):

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