Dependent input sampling strategies : using metaheuristics for generating parameterised random sampling regimes

Srivisut, Komsan, Clark, John A. orcid.org/0000-0002-9230-9739 and Paige, Richard F. orcid.org/0000-0002-1978-9852 (2018) Dependent input sampling strategies : using metaheuristics for generating parameterised random sampling regimes. In: GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. 2018 Genetic and Evolutionary Computation Conference, GECCO 2018, 15-19 Jul 2018 Association for Computing Machinery, Inc , JPN , pp. 1451-1458.

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Copyright, Publisher and Additional Information: ©2018 Association for Computing Machinery. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: Genetic algorithms,Hill climbing,Metaheuristics,Simulated annealing,Temporal testing,Computer Science Applications,Software,Computational Theory and Mathematics
Dates:
  • Published: 2 July 2018
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 29 Aug 2018 15:50
Last Modified: 25 Nov 2021 01:30
Published Version: https://doi.org/10.1145/3205455.3205495
Status: Published
Publisher: Association for Computing Machinery, Inc
Refereed: No
Identification Number: https://doi.org/10.1145/3205455.3205495
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