Multifacility location problems on a sphere.
Multi-objective geometric programming problem with Karush−Kuhn−Tucker condition using ϵ-constraint method
Optimization is an important tool widely used in formulation of the mathematical model and design of various decision making problems related to the science and engineering. Generally, the real world problems are occurring in the form of multi-criteria and multi-choice with certain constraints. There is no such single optimal solution exist which could optimize all the objective functions simultaneously. In this paper, ϵ-constraint method along with Karush−Kuhn−Tucker (KKT) condition has been used...
Multi-objective Optimization Problem with Bounded Parameters
In this paper, we propose a nonlinear multi-objective optimization problem whose parameters in the objective functions and constraints vary in between some lower and upper bounds. Existence of the efficient solution of this model is studied and gradient based as well as gradient free optimality conditions are derived. The theoretical developments are illustrated through numerical examples.
Multiple objective optimization of hydro-thermal systems using Ritz's method.
Multiplicateurs de Kuhn-Tucker pour des jeux non coopératifs contraints