Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems

J Rada-Vilela, M Johnston, M Zhang - Swarm and Evolutionary …, 2014 - Elsevier
Abstract Particle Swarm Optimization (PSO) is a metaheuristic whose performance
deteriorates significantly when utilized on optimization problems subject to noise. On these …

A learning automata-based particle swarm optimization algorithm for noisy environment

JQ Zhang, LW Xu, J Ma… - 2015 IEEE Congress on …, 2015 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) is an outstanding evolutionary algorithm designed to
tackle various optimization problems. However, its performance deteriorates significantly in …

Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems

J Rada-Vilela, M Johnston, M Zhang - Soft computing, 2015 - Springer
Particle swarm optimization (PSO) is a metaheuristic whose quality of results deteriorates
significantly in optimization problems subject to noise. The underlying reason to such a …

[PDF][PDF] Swarm and Evolutionary Computation

J Rada-Vilela, M Johnston, M Zhang - 2014 - researchgate.net
abstract Particle swarm optimization (PSO) is a metaheuristic designed to find good
solutions to optimization problems. However, when optimization problems are subject to …

Population Statistics for Particle Swarm Optimization on Problems Subject to Noise

J Rada-Vilela - 2014 - openaccess.wgtn.ac.nz
Particle Swarm Optimization (PSO) is a metaheuristic where a swarm of particles explores
the search space of an optimization problem to find good solutions. However, if the problem …