2020
DOI: 10.3390/math8040616
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On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems

Abstract: A parameter-free optimization technique is applied in Quasi-Newton’s method for solving unconstrained multiobjective optimization problems. The components of the Hessian matrix are constructed using q-derivative, which is positive definite at every iteration. The step-length is computed by an Armijo-like rule which is responsible to escape the point from local minimum to global minimum at every iteration due to q-derivative. Further, the rate of convergence is proved as a superlinear in a local neighborhood of… Show more

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Cited by 18 publications
(21 citation statements)
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“…under boundary conditions k(0) = k (0) = 0 and k ( 3 8 ) = 15 4 k (1) for t ∈ (0, 1) such that the assumptions of Lemma 3.6 hold. Clearly, σ = 18 7 ∈ (2, 3), ζ = 5 6 ∈ (0, 1), r = 3 8 ∈ (0, 1), and λ = 15 4 > 0. Also, λ(σ -2) = 15 7 > 1.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…under boundary conditions k(0) = k (0) = 0 and k ( 3 8 ) = 15 4 k (1) for t ∈ (0, 1) such that the assumptions of Lemma 3.6 hold. Clearly, σ = 18 7 ∈ (2, 3), ζ = 5 6 ∈ (0, 1), r = 3 8 ∈ (0, 1), and λ = 15 4 > 0. Also, λ(σ -2) = 15 7 > 1.…”
Section: Discussionmentioning
confidence: 99%
“…Soon afterward, it is further promoted by Al-Salam and Agarwal [9,10], where many outstanding theoretical results are given. Its emergence and development extended the application of interdisciplinary to be further and aroused widespread attention of the scholars; see [11][12][13][14][15][16][17][18][19][20][21][22][23] Then Liang and Zhang [24] studied the existence and uniqueness of positive solutions by properties of the Green function, the lower and upper solution method, and the fixed point theorem for the fractional equation D σ q [k](s) + w(s, k(s)) = 0 for 0 < s < 1 under the boundary conditions k(0) = k (0) = 0 and k (1) = m-2 i=1 i k (ς i ), where 2 < σ ≤ 3, and c D σ q is the Riemann-Liouville fractional derivative. In 2015, Zhang et al [25] through the spectral analysis and fixed point index theorem obtained the existence of positive solutions of the singular nonlinear fractional differential equation…”
Section: Introductionmentioning
confidence: 99%
“…This provides the avenue for error minimization between the predicted and actual outputs. To achieve this cost minimization, several weight optimization algorithms exist including the quasi-Newton methods [39], Adam [40], stochastic gradient descent (SGD) [41,42]; and the popular SGD improvement-the Adam [40] weight optimizer. While the SGD serves fairly for most problems and the quasi-Newton methods are popularly efficient on small datasets, the Adam optimizer comes with faster convergence, faster learning, and improved validation accuracy for large datasets.…”
Section: Ml/dl-based Diagnosismentioning
confidence: 99%
“…Jackson [10,11] was the first to have some applications of the q-calculus and introduced the q-analogue of the classical derivative and integral operators. Applications of q-calculus play an important role in various fields of mathematics and physics [12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%