Fuzzy Adaptive Parameter in the Dai–Liao Optimization Method Based on Neutrosophy : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.3390/sym15061217

Ключевые слова: neutrosophic logic systems, Dai-Liao conjugate gradient method, backtracking linesearch, convergence, unconstrained optimization

Аннотация: The impact of neutrosophy has increased rapidly in many areas of science and technology in recent years. Furthermore, numerous applications of the neutrosophic theory have become more usual. We aim to use neutrosophy to enhance Dai–Liao conjugate gradient (CG) iterative method. In particular, we suggest and explore a new neutrosophПоказать полностьюic logic system intended to compute the essential parameter t required in Dai–Liao CG iterations. Theoretical examination and numerical experiments signify the effectiveness of the introduced method for controlling t. By incorporation of the neutrosophy in the Dai–Liao conjugate gradient principle, we established novel Dai–Liao CG iterations for solving large-scale unconstrained optimization problems. Global convergence is proved under standard assumptions and with the use of the inexact line search. Finally, computational evidence shows the computational effectiveness of the proposed fuzzy neutrosophic Dai–Liao CG method.

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Издание

Журнал: Symmetry

Выпуск журнала: Т. 15, 6

Номера страниц: 1217

ISSN журнала: 20738994

Персоны

  • Stanimirović Predrag S. (Siberian Federal University)
  • Ivanov Branislav D. (University of Niš)
  • Stanujkić Dragiša (University of Belgrade)
  • Kazakovtsev Lev A. (Siberian Federal University)
  • Krutikov Vladimir N. (Kemerovo State University)
  • Karabašević Darjan (University Business Academy in Novi Sad)

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