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A modified quasi-Newton method for vector optimization problem
MAT Ansary, G Panda - Optimization, 2015 - Taylor & Francis
In this paper, existence of critical point and weak efficient point of vector optimization
problem is studied. A sequence of points in n-dimension is generated using positive definite …
problem is studied. A sequence of points in n-dimension is generated using positive definite …
Approximate solutions of multiobjective optimization problems
TD Chuong, DS Kim - Positivity, 2016 - Springer
This paper provides some new results on approximate Pareto solutions of a multiobjective
optimization problem involving nonsmooth functions. We establish Fritz-John type necessary …
optimization problem involving nonsmooth functions. We establish Fritz-John type necessary …
E-Benson proper efficiency in vector optimization
KQ Zhao, XM Yang - Optimization, 2015 - Taylor & Francis
Starting from the innovative ideas of Chicco et al.(Vector optimization problems via
improvement sets. J. Optim. Theory Appl. 2011; 150: 516–529), in this paper, the concepts of …
improvement sets. J. Optim. Theory Appl. 2011; 150: 516–529), in this paper, the concepts of …
Optimality, scalarization and duality in linear vector semi-infinite programming
N Kanzi, J Shaker Ardekani, G Caristi - Optimization, 2018 - Taylor & Francis
In this paper, we introduce some qualification conditions for a linear vector semi-infinite
programming problem. The new qualification conditions are used for development of …
programming problem. The new qualification conditions are used for development of …
A revised pascoletti–serafini scalarization method for multiobjective optimization problems
The presented study deals with the scalarization techniques for solving multiobjective
optimization problems. The Pascoletti–Serafini scalarization technique is considered, and it …
optimization problems. The Pascoletti–Serafini scalarization technique is considered, and it …
Optimality conditions via a unified direction approach for (approximate) efficiency in multiobjective optimization
The presented paper addresses scalarization techniques for multiobjective optimization
problems. A new scalarization technique for solving a general multiobjective optimization …
problems. A new scalarization technique for solving a general multiobjective optimization …
A comparative study of different algorithms and scalarization techniques for constructing the Pareto front of multiobjective optimization problems
This paper presents an analysis and comparison of various algorithms applied to different
scalarization methods for multiobjective optimization problems (MOPs). At first, some …
scalarization methods for multiobjective optimization problems (MOPs). At first, some …
Approximate proper efficiency in vector optimization
K Zhao, G Chen, X Yang - Optimization, 2015 - Taylor & Francis
In recent years, some different kinds of approximate proper efficiency have been proposed
by means of different tools including co-radiant set and improvement set for a vector …
by means of different tools including co-radiant set and improvement set for a vector …
A combined scalarization method for multi-objective optimization problems.
Y **a, X Yang, K Zhao - Journal of Industrial & Management …, 2021 - search.ebscohost.com
In this paper, we propose a new combined scalarization method of multi-objective
optimization problems by using the surplus variables and the generalized Tchebycheff norm …
optimization problems by using the surplus variables and the generalized Tchebycheff norm …
Optimality conditions via scalarization for approximate quasi efficiency in multiobjective optimization
M Ghaznavi - Filomat, 2017 - JSTOR
Approximate problems that scalarize and approximate a given multiobjective optimization
problem (MOP) became an important and interesting area of research, given that, in general …
problem (MOP) became an important and interesting area of research, given that, in general …