We consider the problem of using wireless sensor networks (WSNs) to measure the
temporal-spatial field of some scalar physical quantities. Our goal is to obtain a sufficiently …

The particle swarm optimization (PSO) algorithm is a stochastic search technique based on
the social dynamics of a flock of birds. It has been established that the performance of the …

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and
Evolutionary Computation: Particle swarm o Page 1 Particle Swarm Optimization AP …

Several interesting libraries for optimization have been proposed. Some focus on individual
optimization algorithms, or limited sets of them, and others focus on limited sets of problems …

This article presents a performance study on the effect of synchronicity in communications
and neighborhood size in Particle Swarm Optimization (PSO) on large-scale optimization …

Particle swarm optimization (PSO) is a population-based heuristic algorithm that is widely
used for optimization problems. Phasor PSO (PPSO), an extension of PSO, uses the phase …

The declining of population diversity is often considered as the primary reason for solutions
falling into the local optima in particle swarm optimization (PSO). Inspired by the …

Particle swarm optimization (PSO) is an iterative algorithm, where particle positions and best
positions are updated per iteration. The order in which particle positions and best positions …

In the original particle swarm optimization algorithm, particles' update is done
synchronously. The whole swarm fitness is evaluated first before particle update process is …

The primary objective motivating this dissertation was to illustrate the efficacy of particle
swarm optimization (PSO) as the engine of an algorithm to generate optimal design of …