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Refail Kasimbeyli on Muck Rack

Refail Kasimbeyli

As seen in: Taylor & Francis Online
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Articles

Nonlinear scalarization approaches for characterizing E -efficiency classes in nonconvex vector optimization

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By Wen-Bin Wei, Jian-Wen Peng, Refail Kasimbeyli
| Taylor & Francis Online
In this paper, we first summarize the mutual inclusion relations among four classes of efficient points defined via an improvement set E, namely E-strictly efficient points, E-super efficient points, E-globally properly efficient points, and E-Henig properly efficient points.
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Radial epiderivative based line search methods in nonconvex and nonsmooth box-constrained optimization

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By Refail Kasimbeyli, Gulcin Dinc Yalcin, Gazi Bilal Yildiz, Erdener Ozcetin
| Taylor & Francis Online
Advanced search Optimization A Journal of Mathematical Programming and Operations Research Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/02331934.2025.2548877?needAccess=true Abstract In this paper, we develop a novel radial epiderivative-based line search methods for solving nonsmooth and nonconvex box-constrained optimization problems.
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