Stability of Local Efficiency in Multiobjective Optimization

Sanaz Sadeghi () and S. Morteza Mirdehghan ()
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Sanaz Sadeghi: Shiraz University
S. Morteza Mirdehghan: Shiraz University

Journal of Optimization Theory and Applications, 2018, vol. 178, issue 2, No 13, 613 pages

Abstract: Abstract Analyzing the behavior and stability properties of a local optimum in an optimization problem, when small perturbations are added to the objective functions, are important considerations in optimization. The tilt stability of a local minimum in a scalar optimization problem is a well-studied concept in optimization which is a version of the Lipschitzian stability condition for a local minimum. In this paper, we define a new concept of stability pertinent to the study of multiobjective optimization problems. We prove that our new concept of stability is equivalent to tilt stability when scalar optimizations are available. We then use our new notions of stability to establish new necessary and sufficient conditions on when strict locally efficient solutions of a multiobjective optimization problem will have small changes when correspondingly small perturbations are added to the objective functions.

Keywords: Multiobjective programming; Variational analysis; Tilt stability; Weighted sum scalarization; 90C29; 90C31; 49K40 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10957-018-1312-7

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