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Optimality conditions for interval valued optimization problems

delete2023-02-01
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PRE
AI
F
Fabiola Roxana Villanueva
V
Valeriano Antunes de Oliveira *
T
Tiago Mendonça da Costa
DOI:10.1016/j.fss.2022.06.020delete
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摘要

摘要

En 中文
This work addresses constrained optimization problems in which the objective function is interval-valued while the inequality constraints functions are real-valued. Both necessary and sufficient optimality conditions are derived. They are given through the gH-gradient and the gH-directional derivative of the interval objective function. The necessary ones are of KKT-type. The sufficient conditions are of generalized convexity type. The developed theory is illustrated by means of some numerical examples. (c) 2022 Elsevier B.V. All rights reserved.
Keyword:
Interval optimization
Necessary optimality conditions
Karush-Kuhn-Tucker-type conditions
Sufficient optimality conditions
Generalized convexity

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Fuzzy Sets and Systems 封面图
Fuzzy Sets and Systems
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Universidade Estadual Paulista
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universidad de tarapaca
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universidad mayor de san andres
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