ORCID Profile
0000-0002-4907-0662
Current Organisation
Griffith University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: ACM
Date: 13-07-2019
Publisher: IEEE
Date: 12-2014
Publisher: ACM
Date: 06-10-2008
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 11-2017
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 09-2013
Publisher: IEEE
Date: 06-2011
Publisher: IEEE
Date: 06-2019
Publisher: Springer Science and Business Media LLC
Date: 26-10-2017
Publisher: ACM
Date: 11-07-2015
Publisher: IEEE
Date: 12-2009
Publisher: IEEE
Date: 06-2012
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 08-2020
Publisher: IEEE
Date: 07-2020
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 06-2008
Publisher: Springer International Publishing
Date: 2016
Publisher: ACM
Date: 11-10-2010
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 04-2013
Publisher: ACM
Date: 15-07-2023
Publisher: MDPI AG
Date: 30-10-2023
DOI: 10.3390/A16110504
Publisher: IEEE
Date: 06-2013
Publisher: Elsevier BV
Date: 11-2013
Publisher: Springer Nature Singapore
Date: 02-09-2023
Publisher: ACM
Date: 07-07-2021
Publisher: IEEE
Date: 11-2018
Publisher: ACM
Date: 06-07-2018
Publisher: IEEE
Date: 11-2017
Publisher: ACM
Date: 08-07-2020
Publisher: Elsevier BV
Date: 02-2014
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 12-2015
Publisher: ACM
Date: 12-10-2009
Publisher: IEEE
Date: 11-2016
Publisher: Springer International Publishing
Date: 18-11-2015
Publisher: Springer International Publishing
Date: 18-11-2015
Publisher: IEEE
Date: 04-2013
Publisher: ACM
Date: 21-03-2020
Publisher: ACM
Date: 21-03-2020
Publisher: IEEE
Date: 07-2016
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: ACM
Date: 06-07-2018
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Association for Computing Machinery (ACM)
Date: 2014
DOI: 10.1145/2517649
Abstract: Algorithms that solve Dynamic Multi-Objective Optimisation Problems (DMOOPs) should be tested on benchmark functions to determine whether the algorithm can overcome specific difficulties that can occur in real-world problems. However, for Dynamic Multi-Objective Optimisation (DMOO), no standard benchmark functions are used. A number of DMOOPs have been proposed in recent years. However, no comprehensive overview of DMOOPs exist in the literature. Therefore, choosing which benchmark functions to use is not a trivial task. This article seeks to address this gap in the DMOO literature by providing a comprehensive overview of proposed DMOOPs, and proposing characteristics that an ideal DMOO benchmark function suite should exhibit. In addition, DMOOPs are proposed for each characteristic. Shortcomings of current DMOOPs that do not address certain characteristics of an ideal benchmark suite are highlighted. These identified shortcomings are addressed by proposing new DMOO benchmark functions with complicated Pareto-Optimal Sets (POSs), and approaches to develop DMOOPs with either an isolated or deceptive Pareto-Optimal Front (POF). In addition, DMOO application areas and real-world DMOOPs are discussed.
Publisher: IEEE
Date: 05-2015
Location: South Africa
Start Date: 2007
End Date: 2009
Funder: Department of Science and Technology
View Funded ActivityStart Date: 2017
End Date: 2019
Funder: National Research Foundation
View Funded ActivityStart Date: 2016
End Date: 2016
Funder: University of Pretoria
View Funded ActivityStart Date: 2008
End Date: 2010
Funder: Council for Scientific and Industrial Research
View Funded Activity