On the Analysis of Simple Genetic Programming for Evolving Boolean Functions

Oliveto, P. and Mambrini, A. (2016) On the Analysis of Simple Genetic Programming for Evolving Boolean Functions. In: Heywood, M.I., McDermott, J., Castelli, M., Costa, E. and Sim, K., (eds.) Genetic Programming. 19th European Conference on Genetic Programming, March 30 - April 1, 2016, Porto, Portugal. Lecture Notes in Computer Science, 9594 . Springer , pp. 99-114.

Abstract

Metadata

Authors/Creators:
  • Oliveto, P.
  • Mambrini, A.
Copyright, Publisher and Additional Information: © 2016 Springer International Publishing Switzerland. 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 programming; Theory; Runtime analysis
Dates:
  • Published: 30 March 2016
  • Accepted: 19 December 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/M004252/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 Apr 2016 14:55
Last Modified: 21 Mar 2018 21:35
Published Version: http://dx.doi.org/10.1007/978-3-319-30668-1_7
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: https://doi.org/10.1007/978-3-319-30668-1_7

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