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SEAL
2010
Springer

Dominance-Based Pareto-Surrogate for Multi-Objective Optimization

8 years 6 months ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Pareto front with a single model. Such an approach has been recently introduced using a mixture of regression Support Vector Machine (SVM) to clamp the current Pareto front to a single value, and one-class SVM to ensure that all dominated points will be mapped on one side of this value. A new mono-surrogate EMO approach is introduced here, relaxing the previous approach and modelling Pareto dominance within the rank-SVM framework. The resulting surrogate model is then used as a filter for offspring generation in standard Evolutionary Multi-Objective Algorithms, and is comparatively validated on a set of benchmark problems.
Ilya Loshchilov, Marc Schoenauer, Michèle S
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where SEAL
Authors Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
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