Dual guidance in evolutionary multi-objective optimization by localization

Bui, Lam T. ; Deb, Kalyanmoy ; Abbass, Hussein A. ; Essam, Daryl (2006) Dual guidance in evolutionary multi-objective optimization by localization Lecture Notes in Computer Science, 4247 . pp. 384-391. ISSN 0302-9743

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Official URL: http://www.springerlink.com/content/t212q313539742...

Related URL: http://dx.doi.org/10.1007/11903697_49

Abstract

In this paper, we propose a framework using local models for multi-objective optimization to guide the search heuristic in both the decision and objective spaces. The localization is built using a limited number of adaptive spheres in the decision space. These spheres are usually guided, using some direction information, in the decision space towards the areas with non-dominated solutions. We use a second mechanism to adjust the spheres to specialize on different parts of the Pareto front using the guided dominance technique in the objective space. With this dual guidance, we can easily guide spheres towards different parts of the Pareto front while also exploring the decision space efficiently.

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ID Code:81659
Deposited On:07 Feb 2012 05:28
Last Modified:18 May 2016 23:07

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