On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems

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...

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Published inMathematics (Basel) Vol. 8; no. 4; p. 616
Main Authors Lai, Kin Keung, Mishra, Shashi Kant, Ram, Bhagwat
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2020
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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 a minimum point based on q-derivative. Finally, the numerical experiments show better performance.
AbstractList 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 a minimum point based on q-derivative. Finally, the numerical experiments show better performance.
Author Lai, Kin Keung
Mishra, Shashi Kant
Ram, Bhagwat
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  givenname: Bhagwat
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Snippet A parameter-free optimization technique is applied in Quasi-Newton’s method for solving unconstrained multiobjective optimization problems. The components of...
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StartPage 616
SubjectTerms Algorithms
Calculus
Hessian matrices
Interdisciplinary subjects
Iterative methods
Matrix methods
Methods
methods of quasi-Newton type
multiobjective programming
Multiple objective analysis
Nonlinear programming
Optimization
Optimization techniques
Pareto optimality
q-calculus
rate of convergence
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Title On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems
URI https://www.proquest.com/docview/2392862854
https://doaj.org/article/0d29391fd12641efb7ba29fb5c19152a
Volume 8
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