Some characterizations of robust optimal solutions for uncertain fractional optimization and applications Article Swipe
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· 2016
· Open Access
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· DOI: https://doi.org/10.3934/jimo.2016047
In this paper, following the framework of robust optimization, we consider robust optimal solutions for a fractional optimization problem in the face of data uncertainty both in the objective and constraints. To this end, by using the properties of the subdifferential sum formulae, we first introduce some robust basic subdifferential constraint qualifications, and then obtain some completely characterizations of the robust optimal solutions of this uncertain fractional optimization problem. We show that our results encompass as special cases some optimization problems considered in the recent literature. Moreover, as applications, the proposed approach is applied to investigate weakly robust efficient solutions for multi-objective fractional optimization problems in the face of data uncertainty both in the objective and constraints.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3934/jimo.2016047
- https://www.aimsciences.org/article/exportPdf?id=4b772214-a606-41dc-a7cc-c7e1648f3c73
- OA Status
- diamond
- Cited By
- 18
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2509694544Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3934/jimo.2016047Digital Object Identifier
- Title
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Some characterizations of robust optimal solutions for uncertain fractional optimization and applicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2016Year of publication
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2016-08-19Full publication date if available
- Authors
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Xiangkai Sun, Xian-Jun Long, Hongyong Fu, Xiaobing LiList of authors in order
- Landing page
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https://doi.org/10.3934/jimo.2016047Publisher landing page
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https://www.aimsciences.org/article/exportPdf?id=4b772214-a606-41dc-a7cc-c7e1648f3c73Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.aimsciences.org/article/exportPdf?id=4b772214-a606-41dc-a7cc-c7e1648f3c73Direct OA link when available
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Robust optimization, Mathematical optimization, Subderivative, Optimization problem, Constrained optimization problem, Face (sociological concept), Computer science, Constraint (computer-aided design), Mathematics, Convex optimization, Regular polygon, Social science, Sociology, GeometryTop concepts (fields/topics) attached by OpenAlex
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18Total citation count in OpenAlex
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2024: 1, 2023: 2, 2021: 5, 2020: 2, 2019: 5Per-year citation counts (last 5 years)
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39Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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