Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Edge server placement problem is a hot topic in mobile edge computing. In this paper, we
study the problem of energy-aware edge server placement and try to find a more effective …

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …

This paper introduces a novel parameter automation strategy for the particle swarm
algorithm and two further extensions to improve its performance after a predefined number …

Many areas in power systems require solving one or more nonlinear optimization problems.
While analytical methods might suffer from slow convergence and the curse of …

This paper presents an overview of our most recent results concerning the Particle Swarm
Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting …

Particle swarm optimization is a recently invented high-performance optimizer that is very
easy to understand and implement. It is similar in some ways to genetic algorithms or …

Harmony search (HS) is a new meta-heuristic optimization method imitating the music
improvisation process where musicians improvise their instruments' pitches searching for a …