Skip to main content
Article thumbnail
Location of Repository

Using Unconstrained Elite Archives for Multi-Objective Optimisation

By Jonathan E. Fieldsend, Student Member, Richard M. Everson and Sameer Singh

Abstract

Multi-Objective Evolutionary Algorithms (MOEAs) have been the subject of numer- ous studies over the past 20 years. Recent work has highlighted the use of an active archive of elite, non-dominated solutions to improve the optimisation speed of these algorithms

Topics: Optimisation, Genetic Algorithms, Evolutionary Strategies, Multiple Objectives
Year: 2001
OAI identifier: oai:CiteSeerX.psu:10.1.1.19.4563
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.dcs.ex.ac.uk/people... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.