The Hopfield neural network (HNN) is one major neural network (NN) for solving
optimization or mathematical programming (MP) problems. The major advantage of HNN is …

The aim of this paper is to present a broad perspective on applications dealing with 3D
building models and indoor navigation during an emergency. This is an immense topic …

This paper presents the investigations on the application of particle swarm optimization
(PSO) to solve shortest path (SP) routing problems. A modified priority-based encoding …

Effective and efficient link analysis techniques are needed to help law enforcement and
intelligence agencies fight organized crimes such as narcotics violation, terrorism, and …

Packet routing problem most commonly emerges in the context of computer networks, thus
the majority of routing algorithms existing nowadays is designed specifically for routing in …

This paper introduces an optimal method entitled Dhouib-Matrix-SPP (DM-SPP) in order to
solve the Shortest Path Problem with a complexity time of O n+ m where n and m are …

Path finding is a fundamental research topic in transportation planning, intelligent
transportation system, routine selection, etc. It is usually simplified as the shortest path (SP) …

In recent decades, there has been increased interest among both transportation researchers
and practitioners in exploring the application of artificial intelligence (AI) paradigms to …

In this paper, a unified scheme is proposed for solving the classical shortest path problem
and the generalized shortest path problem, which are highly nonlinear. Particularly, the …

By considering the uncertainty that exists in the edge weights of the network, fuzzy shortest
path problems, as one of the derivative problems of shortest path problems, emerge from …