Embedded intelligence (EI) is an emerging research field and has the objective to
incorporate machine learning algorithms and intelligent decision-making capabilities into …

Particle swarm optimization (PSO) is a nature-inspired global optimization method that uses
interaction between particles to find the optimal solution in a complex search space. The …

Shortest path problem is one of the most fundamental components in the fields of
transportation and communication networks. This paper concentrates on a shortest path …

Engineering optimization methods based on meta-heuristic algorithms are computationally
demanding and might present complex implementation issues for embedded devices with …

Metaheuristic optimization methods have been implemented for solving several problems.
However, when it is required to implement those algorithms in hardware to run online, there …

This brief proposes a parallel implementation, with fixed point, of the particle swarm
optimization (PSO) algorithm on field-programmable gate array (FPGA). Results associated …

Several practical applications like disaster detection, remote surveillance, object recognition
using remote sensing satellite images, object monitoring and tracking using radar images …

Engineering optimization techniques are computationally intensive and can challenge
implementations on tightly-constrained embedded systems. Particle Swarm Optimization …

Abstract The QUasi-Affine TRansformation Evolutionary (QUATRE) algorithm, a new
intelligence optimization algorithm, has been widely used in many optimization fields. In this …

This paper deals with the development of effective techniques to automatically obtain the
optimum management of petroleum fields aiming to increase the oil production during a …