Nowadays, particle swarm optimisation (PSO) is one of the most commonly used
optimisation techniques. However, PSO parameters significantly affect its computational …

Differential evolution (DE) algorithms compose an efficient type of evolutionary algorithm
(EA) for the global optimization domain. Although it is well known that the population …

A number of empirical studies have compared the two extreme neighborhood topologies
used in particle swarm optimization (PSO) algorithms, namely the star and the ring …

Nature-inspired swarm-based algorithms are increasingly applied to tackle high-
dimensional and complex optimization problems across disciplines. They are general …

Обзор методов роя частиц для задачи глобальной оптимизации (particle swarm
optimization) – тема научной статьи по математике читайте бесплатно текст научно-исследовательской …

A novel variant of particle swarm optimization with damping factor and cooperation
mechanism (PSO-DFCM) to search the global optima in a large scale and high-dimensional …

Patients whose lungs are compromised due to various respiratory health concerns require
mechanical ventilation for support in breathing. Different mechanical ventilation settings are …

Large-scale optimization arises in a variety of scientific and engineering applications. In this
paper, a particle swarm optimization (PSO) approach with dynamic neighborhood that is …

Designing an algorithm to solve a given problem is a challenging task due to the variety of
possible design choices and the lack of clear guidelines on how to choose and/or combine …

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