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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
After some properties including an existence condition of the subdifferentials are studied, optimality conditions including the necessary and sufficient conditions for interval optimization are obtained.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, interval-valued optimization problems (shortly, interval optimization) are considered.
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Key Findings & Data:In order to obtain optimality conditions of interval optimization, subdifferential and weak subdifferential are defined.
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Conclusion & Impact:After some properties including an existence condition of the subdifferentials are studied, optimality conditions including the necessary and sufficient conditions for interval optimization are obtained.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Optimization · Subdifferential · Optimality condition
Abstract
In this study, interval-valued optimization problems (shortly, interval optimization) are considered. In order to obtain optimality conditions of interval optimization, subdifferential and weak subdifferential are defined. After some properties including an existence condition of the subdifferentials are studied, optimality conditions including the necessary and sufficient conditions for interval optimization are obtained.
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Cite This Article
Karaman, E. (2020). Optimality Conditions of Interval-Valued Optimization Problems by Using Subdifferantials. Gazi University Journal of Science, Volume: 33 Issue: 4. https://doi.org/10.35378/gujs.619160