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 ACM , JPN , pp. 1451-1458.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
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
Dates:
  • Published: 2 July 2018
  • Accepted: 25 March 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: 16 Oct 2024 10:59
Published Version: https://doi.org/10.1145/3205455.3205495
Status: Published
Publisher: ACM
Identification Number: 10.1145/3205455.3205495
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Export

Statistics