Achieving system fairness is a major design concern in current multicore processors. Unfairness arises due to contention in the shared resources of the system, such as the LLC …
The main aim of this paper is to investigate weakly/properly/robust efficient solutions of a nonsmooth semi-infinite multiobjective programming problem, in terms of convexificators. In …
This paper provides some new results on approximate Pareto solutions of a multiobjective optimization problem involving nonsmooth functions. We establish Fritz-John type necessary …
TH Pham - Bulletin of the Malaysian Mathematical Sciences …, 2023 - Springer
In this paper, we deal with nonsmooth robust semi-infinite multiobjective optimization problems. Both necessary and sufficient optimality conditions are established. We also …
MA Goberna, N Kanzi - Mathematical Programming, 2017 - Springer
The purpose of this paper is to characterize the weak efficient solutions, the efficient solutions, and the isolated efficient solutions of a given vector optimization problem with …
HN Singh, V Laha - Iranian Journal of Science and Technology …, 2022 - Springer
This article deals with a class of multiobjective fractional programs involving quasidifferentiable functions which is denoted by (QMFP). We extend the concept of (F, ρ) …
In this paper, a new one layer recurrent neural network is proposed to solve nonsmooth optimization problems with nonlinear inequality and linear equality constraints. Model is …
TD Chuong, DS Kim - Annals of Operations Research, 2014 - Springer
Exploiting some tools of modern variational analysis involving the approximate extremal principle, the fuzzy sum rule for the Fréchet subdifferential, the sum rule for the limiting …
In this article, approximate solutions of multi-objective optimization problems are analysed. The notion of approximate solution suggested by Kutateladze is dealt with, and, utilizing …