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Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty

Published 20 Nov 2020 in math.OC and cs.AI | (2011.10341v1)

Abstract: This paper presents a new robustness concept for uncertain multi-objective optimization problems. More precisely, in the paper the so-called recovery-to-efficiency robustness concept is proposed and investigated. Several approaches for generating recovery-to-efficiency robust sets in the context of multi-objective optimization are proposed as well. An extensive experimental analysis is performed to disclose differences among robust sets obtained using different concepts as well as to deduce some interesting observations. For testing purposes, instances from the bi-objective knapsack problem are considered.

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