Using External Archive for Improved Performance in Multi-Objective Optimization

November 22, 2018 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Mahesh B. Patil arXiv ID 1811.09196 Category cs.NE: Neural & Evolutionary Citations 6 Venue arXiv.org Last Checked 4 months ago
Abstract
It is shown that the use of an external archive, purely for storage purposes, can bring substantial benefits in multi-objective optimization. A new scheme for archive management for the above purpose is described. The new scheme is combined with the NSGA-II algorithm for solving two multi-objective optimization problems, and it is demonstrated that this combination gives significantly improved sets of Pareto-optimal solutions. The additional computational effort because of the external archive is found to be insignificant when the objective functions are expensive to evaluate.
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