Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

Real-time communication networks are designed mainly to support multimedia applications,
especially the interactive ones, which require a guarantee of Quality of Service (QoS) …

Planning our actions provides a way to achieve our goals with a certain level of optimality.
The perfect plan can be constructed if we know all of the factors, past and future, that affect …

This paper presents a new algorithm for tuning the weights and bias currents of a Hopfield
neural network. Generally Hopfield networks are suitable for solving combinatorial …

This paper presents a study on the performance of the Hopfield neural network algorithm for
the graph path search problem. Specifically, performance of the Hopfield network is studied …

Solution of NP-hard optimization problems by Hopfield neural network requires the
determination of coefficients linked to the surrounding conditions of the optimization problem …

Hopfield neural network model for finding the shortest path between two nodes in a graph
was proposed recently in some literatures. In this paper, we present a modified version of …

a 2-D Hopfield neural network has been used to perform the shortest path task for optimal
routing in a packet switched network. The optimum routing problem requires finding the …

The Hopfield-type neural model is a suitable tool for the solution of optimization problems
featuring NP-hard computational complexity. The solution of such problems using a Hopfield …

A Hopfield neural network model for finding an optimal or shortest path between two nodes
in a graph was proposed recently in some literature. In this paper, the authors present a …