Fast immune system-inspired hypermutation operators for combinatorial optimization

Corus, D., Oliveto, P.S. and Yazdani, D. (2021) Fast immune system-inspired hypermutation operators for combinatorial optimization. IEEE Transactions on Evolutionary Computation, 25 (5). pp. 956-970. ISSN 1089-778X

Abstract

Metadata

Authors/Creators:
  • Corus, D.
  • Oliveto, P.S.
  • Yazdani, D.
Copyright, Publisher and Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Artificial immune systems (AISs); hypermutation; runtime analysis
Dates:
  • Accepted: 8 March 2021
  • Published (online): 24 March 2021
  • Published: October 2021
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 COUNCILEP/M004252/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 Nov 2021 10:57
Last Modified: 24 Mar 2022 01:38
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tevc.2021.3068574
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