n this paper, we introduce a novel artificial neural network to solve the portfolio optimization problem. The proposed neural network is called the Mixed Tabu Machine since its structure is similar to the Tabu Machine, but includes both discrete...

optimization problem that is formulated

according to the form of training samples and optimal hyperplane is obtained. In real world,

the parameters are seldom known and usually are estimated. In this paper we propose an

interval support...

. EQM uses linear optimization problem to control congestion in network nodes. Switching equipments drop arrival packets based on optimization problem outcomes. Proposed AQM mechanism is designed to accompany a transport-layer congestion control protocol...

, especially in high-density neighborhoods. General formulation of this problem leads to an NP-hard problem. In the current study, first we investigate some of the existing literatures in this area and then present an optimization problem to find the best...