An equivalent fractional optimization problem under invexity conditions for solving fractional vector variational-like inequality problems to portfolio optimization in finance
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引用次数: 0
Abstract
This paper introduces and investigates new classes of weak fractional vector variational-like inequalities and fractional vector variational-like inequalities. We establish an equivalence between the efficient solutions of fractional optimization problems and the solutions of introduced inequalities using a parametric approach under generalized invexity assumptions. By applying the KKM Lemma, we prove the existence of solutions for a fractional vector variational-like inequality problem. We also illustrate the derived results with examples. Additionally, we consider an application-based problem in portfolio allocation to validate our findings.
期刊介绍:
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.
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