An interval algorithm for multi-objective optimization |
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Authors: | GR Ruetsch |
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Affiliation: | (1) Sun Microsystems, Inc., 3295 N.W. 211th Terrace, Hillsboro, OR 97124, USA |
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Abstract: | This paper presents an interval algorithm for solving multi-objective optimization problems. Similar to other interval optimization techniques, see Hansen and Walster (2004)], the interval algorithm presented here is guaranteed to capture all solutions, namely all points on the Pareto front. This algorithm is a hybrid method consisting of local gradient-based and global direct comparison components. A series of example problems covering convex, nonconvex, and multimodal Pareto fronts is used to demonstrate the method. |
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Keywords: | Global optimization Interval methods Multi-objective optimization |
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