World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

VISUALIZATION TECHNIQUE FOR ANALYZING NON-DOMINANT PARETO OPTIMALITY

    https://doi.org/10.1142/9789812561794_0018Cited by:0 (Source: Crossref)
    Abstract:

    One advantage of evolutionary computation over conventional optimization and search techniques is its ability to deal with multiple objectives. Multi-objective evolutionary algorithms (MOEAs) have proved very useful in many real-world applications and the number of publications in this area has exceeded 1000. However, no one offers a simple-to-use or widely accepted method for evaluating the performance of MOEAs. 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.