A simple evolutionary algorithm for multi-objective optimization (SEAMO)

Valenzuela, Christine L. ORCID: https://orcid.org/0000-0002-4514-0272 2002. A simple evolutionary algorithm for multi-objective optimization (SEAMO). Presented at: 2002 Congress on Evolutionary Computation, Honolulu, HI, USA, 12-17 May 2002. Proceedings of the 2002 Congress on Evolutionary Computation. IEEE, pp. 717-722. 10.1109/CEC.2002.1007014

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Abstract

A simple steady-state, Pareto-based evolutionary algorithm is presented that uses an elitist strategy for replacement and a simple uniform scheme for selection. Throughout the genetic search, progress depends entirely on the replacement policy, and no fitness calculations, rankings, subpopulations, niches or auxiliary populations are required. Preliminary results presented in this paper show improvements on previously published results for some multiple knapsack problems.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information:	CEC '02.
Publisher:	IEEE
ISBN:	0780372824
Related URLs:	Publisher
Last Modified:	18 Oct 2022 13:39
URI:	https://orca.cardiff.ac.uk/id/eprint/14816

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