Visualisation technique for analyzing non-dominant pareto optimality

Ang, K.H., Chong, G. and Li, Y. (2004) Visualisation technique for analyzing non-dominant pareto optimality. In: Recent Advances in Simulated Evolution and Learning. Series: Advances in Natural Computation, 2. World Scientific, pp. 327-345. ISBN 981-238-952-0

Abstract

Multi-objective evolutionary algorithms (MOEAs) have proved very useful in many real-world applications. There exist now over 1000 publications addressing MOEA implementation and application problems. However, no one offers a simple-to-use or widely accepted method of evaluating MOEA performance. This is largely due to difficulties in visualizing non-dominated solutions in a multi-objective space when the number of objectives exceeds three. In this chapter, we propose a new visualization technique that should provide better understanding of high order multi-dimensional objectives, so as to assist the design and refinement of MOEAs.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Li, Professor Yun
• Authors: Ang, K.H., Chong, G., and Li, Y.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Research Group: Intelligent Systems
• Publisher: World Scientific
• ISBN: 981-238-952-0