Conformable fractional gradient based dynamic system for constrained optimization problem

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Polish Acad Sciences Inst Physics

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

A conformable fractional gradient based dynamic system with a steepest descent direction is proposed in this paper for a class of nonlinear programming problems. The solutions of the dynamic system, modelled with the conformable fractional derivative are investigated to obtain the minimizing point of the optimization problem. For this purpose, we use a step variational iteration method, adapted to use a conformable integral definition. Numerical simulations and comparisons show that the conformable fractional gradient based dynamic system is both feasible and efficient for a certain class of equality constrained optimization problems. Furthermore, the step variational iteration method, combined with the conformable integral definition, is a reliable tool for solving a system of fractional differential equations.

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Anahtar Kelimeler

Neural Networks, Recurrent Neural Networks, Projection Neural

Kaynak

Acta Physica Polonica A

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132

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3

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Onay

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