In this paper we propose an innovative learning algorithm a variation of One-class ν Support Vector Machines (SVMs) learning algorithm to produce sparser solutions with a much reduced computational complexity. The proposed technique returns an approximate solution, nearly as good as the solution obtained by the classical approach, by minimizing the original risk function along with a regulariza...

in recent years, routing has been the most focused area in ad hoc networks research. on-demand routing in particular, is widely developed in bandwidth constrained mobile wireless ad hoc networks because of its effectiveness and efficiency. most proposed on-demand routing protocols are built and relied on single route for each data session. whenever there is a link disconnection on the active ro...

In this paper, we develop widely linear transmit strategies for two-way relaying networks with single or multiple pairs of users and a MIMO amplify and forward relay. By taking advantage of the noncircularity of the complex-valued transmitted signals, a significant performance gain is obtained over linear transmit strategies when SNR balancing or relay transmit power minimization is chosen as t...

The multiobjective evolutionary algorithm SMS-EMOA was shown by Emmerich et al. to outperform the well-established NSGA-II on a range of common test problems, using the S metric as comparison criterion. This study assesses which of the two algorithms performs best with respect to the optimization of water distribution networks, using the unconstrained three objective reformulation by Formiga et...

This paper proposes a robust spectrum sensing scheme for cognitive radio networks. The proposal performs spectrum sensing simultaneously over the total channels rather than a single channel at a time. It first estimates the number of occupied channels via the exponentially embedded family criterion, and then determines the occupancy status for each channel by sample power. The proposed method i...

In this article we discuss our approach to the evolution of wandering behavior in a multi agent system (MAS). Our discussion covers the various aspects of the system setup, the performed experiments and the interpretation of the results observed. Utilizing a genetic algorithm (GA) and multi layer perceptrons (ANN) we show how wandering behavior is developed provided a single fitness criterion. ...

Recently, relay agents selection schemes were introduced to support downlink multicasting in WiMAX single frequency networks. Such schemes were devised to work cooperatively in order to facilitate reliable Multicast Broadcast Multimedia Services (MBMS) traffic delivery over wireless channels without any consideration to mobile relay agents’ battery energy levels. In this paper, we introduce a b...

In this paper, we consider spectrum sensing in cognitive radio networks based on higher order statistics. The kurtosis, a fourth order statistic, which is a measure of deviation from Gaussianity, is used as a detection statistic. An optimum threshold is set up based on the Neyman-Pearson criterion and analytical expression for upper bound on probability of miss is derived for a single pair of p...

In this work we consider the supply chain management in olive oil industry. We construct the mixed-integer programming model connecting the optimization of olives harvesting and storage and olive oil production. The goal is to maximize the olive oil producer profit consisting of revenue, production cost and storage cost. In the same time, we have to take into the consideration the farmers’ (sup...