Particle Swarm and EDAs
Neural and Evolutionary Computing
2019-11-19 v1 Systems and Control
Systems and Control
Abstract
The Particle Swarm Optimization (PSO) algorithm is developed for solving the Schaffer F6 function in fewer than 4000 function evaluations on a total of 30 runs. Four variations of the Full Model of Particle Swarm Optimization (PSO) algorithms are presented which consist of combinations of Ring and Star topologies with Synchronous and Asynchronous updates. The Full Model with combinations of Ring and Star topologies in combination with Synchronous and Asynchronous Particle Updates is explored.
Keywords
Cite
@article{arxiv.1911.07112,
title = {Particle Swarm and EDAs},
author = {Alison Jenkins and Vinika Gupta and Alexis Myrick and Mary Lenoir},
journal= {arXiv preprint arXiv:1911.07112},
year = {2019}
}