Variable metric method for unconstrained multiobjective optimization problems

DOI10.1007/s40305-022-00447-zarXiv2207.07286MaRDI QIDQ6047575

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Publication date: 12 September 2023

Published in: Journal of the Operations Research Society of China (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2207.07286

zbMATH Keywords

multiobjective optimizationsuperlinear convergencevariable metric methodPareto point

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Nonlinear programming (90C30)

Cites Work

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• Trust region globalization strategy for the nonconvex unconstrained multiobjective optimization problem
• Quasi-Newton methods for solving multiobjective optimization
• Survey of multi-objective optimization methods for engineering
• Steepest descent methods for multicriteria optimization.
• A projected gradient method for vector optimization problems
• Accelerated diagonal steepest descent method for unconstrained multiobjective optimization
• Quasi-Newton's method for multiobjective optimization
• Proper efficiency and the theory of vector maximization
• Optimal Estimation of Executive Compensation by Linear Programming
• CVXPY: A Python-Embedded Modeling Language for Convex Optimization
• A modified Quasi-Newton method for vector optimization problem
• Newton's Method for Multiobjective Optimization
• Algorithms for multicriterion optimization
• A finite algorithm to maximize certain pseudoconcave functions on polytopes
• Finding the nearest point in A polytope
• Quasi-Newton Methods, Motivation and Theory
• A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
• Nonlinear Conjugate Gradient Methods for Vector Optimization
• A Nonmonotone Line Search Technique for Newton’s Method
• Proximal Methods in Vector Optimization
• Evolutionary Algorithms for Solving Multi-Objective Problems
• A Family of Variable-Metric Methods Derived by Variational Means
• A new approach to variable metric algorithms
• The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
• On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization
• Conditioning of Quasi-Newton Methods for Function Minimization