The fastest learning automata (LA) algorithms currently available fall in the family of
estimator algorithms introduced by Thathachar and Sastry (1986). The pioneering work of …

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 …

This paper presents the first Learning Automaton-based solution to the dynamic single
source shortest path problem. It involves finding the shortest path in a single-source …

Push systems are not suitable for applications with a priori unknown, dynamic client
demands. This paper proposes an adaptive push-based system. It suggests the use of a …

The internet of things (IoT) has emerged as one of the most important developments of the
21st century. Consumer, commercial, industrial, and infrastructural environments are among …

Regardless of the performance of gravitational search algorithm (GSA), it is nearly incapable
of avoiding local optima in high-dimension problems. To improve the accuracy of GSA, it is …

Underwater acoustic networks have recently emerged as a new area of research in wireless
networking. These networks can support a large number of applications such as …

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 …

This paper presents a robust, efficient and parameter-setting-free evolutionary approach for
the optimal design of compact heat exchangers. A learning automata based particle swarm …