Improved feasible value constraint for multiobjective optimization problems
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
In this paper, we focus on the utilization of the feasible value constraint technique to address multiobjective optimization problems (MOPs). It is attempted to overcome certain drawbacks associated with this method, such as restrictions on functions and weights, inflexibility in constraints, and challenges in assessing proper efficiency. To accomplish this, we propose an improved version of the feasible value constraint technique. Then, by incorporating approximate solutions, we establish connections between $\varepsilon$-(weakly, properly) efficient points in a general MOP and $\epsilon$-optimal solutions to the scalarization problem.
Keywords:
Language:
English
Published:
Journal of Mathematical Modeling, Volume:13 Issue: 1, Winter 2025
Pages:
105 to 120
https://www.magiran.com/p2837000
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Upwind Implicit Scheme for the Numerical Solution of Stochastic Advection–Diffusion Partial Differential Equations
*, Mehran Aminian, Ali Mohebbian, Mehdi Karami, Hossein Salmei
Analytical and Numerical Solutions for Nonlinear Equations, Winter and Spring 2023 -
An extension of the min-max method for approximate solutions of multi-objective optimization problems
Hossein Salmei *,
Analytical and Numerical Solutions for Nonlinear Equations, Winter and Spring 2023