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Reynolds, Alan P. and de la Iglesia, Beatriz 
ORCID: https://orcid.org/0000-0003-2675-5826
(2007)
Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining.
In: 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, 2007-04-01 - 2007-04-05.
Abstract
The most successful multi-objective metaheuristics, such as NSGA II and SPEA 2, usually apply a form of elitism in the search. However, there are multi-objective problems where this approach leads to a major loss of population diversity early in the search. In earlier work, the authors applied a multi-objective metaheuristic to the problem of rule induction for predictive classification, minimizing rule complexity and misclassification costs. While high quality results were obtained, this problem was found to suffer from such a loss of diversity. This paper describes the use of both linear combinations of objectives and modified dominance relations to control population diversity, producing higher quality results in shorter run times
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and Statistics |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 19 May 2011 07:26 |
| Last Modified: | 22 Apr 2023 02:44 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/22062 |
| DOI: | 10.1109/MCDM.2007.369423 |
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