A Newton method for capturing Pareto optimal solutions of fuzzy multiobjective optimization problems
From MaRDI portal
Publication:5242271
DOI10.1051/ro/2017058zbMath1423.90241OpenAlexW2737513544MaRDI QIDQ5242271
Narges Hoseinpoor, Fatemeh Soleimani, Mehrdad Ghaznavi
Publication date: 6 November 2019
Published in: RAIRO - Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/ro/2017058
critical pointNewton methodgeneralized Hukuhara differentiabilityPareto optimal solutionfuzzy multiobjective problem
Multi-objective and goal programming (90C29) Newton-type methods (49M15) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Cites Work
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- Quasi-Newton methods for solving multiobjective optimization
- On approximating weakly/properly efficient solutions in multi-objective programming
- Newton method to obtain efficient solutions of the optimization problems with interval-valued objective functions
- A Newton method for capturing efficient solutions of interval optimization problems
- Fuzzy mathematical programming and fuzzy matrix games
- Using the technique of scalarization to solve the multiobjective programming problems with fuzzy coefficients
- A generalization of Hukuhara difference and division for interval and fuzzy arithmetic
- Fuzzy optimization. Recent advances and applications
- Solutions of fuzzy multiobjective programming problems based on the concept of scalarization
- Generalized Hukuhara differentiability of interval-valued functions and interval differential equations
- Pareto-optimal solutions in fuzzy multi-objective linear programming
- Fuzzy programming and linear programming with several objective functions
- Nonlinear multiobjective optimization
- Fuzzy multiple objective programming and compromise programming with Pareto optimum
- Fuzzy multiple objective decision making. Methods and applications
- On the Newton method for solving fuzzy optimization problems
- Pareto-optimal solution for multiple objective linear programming problems with fuzzy goals
- Newton method for solving the multi-variable fuzzy optimization problem
- The Karush-Kuhn-Tucker optimality conditions for multi-objective programming problems with fuzzy-valued objective functions
- Generalized differentiability of fuzzy-valued functions
- The Karush-Kuhn-Tucker optimality conditions in multiobjective programming problems with interval-valued objective functions
- A two-phase approach for multi-objective programming problems with fuzzy coefficients
- Newton-like methods for solving vector optimization problems
- A new approach for solving fully fuzzy linear fractional programming problems using the multi-objective linear programming
- Recent Developments in Vector Optimization
- A modified Quasi-Newton method for vector optimization problem
- Newton's Method for Multiobjective Optimization
- Optimality conditions via scalarization for approximate quasi efficiency in multiobjective optimization
- Multicriteria Optimization
- Fuzzy Mathematical Programming approach for Solving Fuzzy Linear Fractional Programming Problem
- On solving multi objective Set Covering Problem with imprecise linear fractional objectives
- Decision-Making in a Fuzzy Environment