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

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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
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

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