One of the major challenges in wireless sensor network (WSN) research is to curb down
congestion in the network's traffic, without compromising with the energy of the sensor …

Link prediction is an important task in Social Network Analysis. The present paper
addresses predicting the emergence of future relationships among nodes in a social …

Almost all of the learning paradigms used in machine learning, learning automata (LA), and
learning theory, in general, use the philosophy of a student (learning mechanism) attempting …

Link prediction is a social network research area that tries to predict future links using
network structure. The main approaches in this area are based on predicting future links …

Link prediction is a main social network challenge that uses the network structure to predict
future links. The common link prediction approaches to predict hidden links use a static …

Software-defined networking (SDN) moves the control plane of network devices like
switches and routers to the controller. The controller is in charge of managing the whole …

In this paper, we study an adaptive random search method based on continuous action-set
learning automaton for solving stochastic optimization problems in which only the noise …

Unlike the field of tutorial systems, where a real-life student interacts and learns from a
software system, our research focuses on a new philosophy in which no entity needs to be a …

Although the field of learning automata (LA) has made significant progress in the past four
decades, the LA-based methods to tackle problems involving environments with a large …

Estimation of distribution algorithms have evolved as a technique for estimating population
distribution in evolutionary algorithms. They estimate the distribution of the candidate …