Do Random and Chaotic Sequences Really Cause Different PSO Performance? Further Results
Neural and Evolutionary Computing
2023-09-18 v1
Abstract
Empirical results show that PSO performance may be different if using either chaotic or random sequences to drive the algorithm's search dynamics. We analyze the phenomenon by evaluating the performance based on a benchmark of test functions and comparing random and chaotic sequences according to equality or difference in underlying distribution or density. Our results show that the underlying distribution is the main influential factor in performance and thus the assumption of general and systematic performance differences between chaos and random appears not plausible.
Cite
@article{arxiv.2309.08449,
title = {Do Random and Chaotic Sequences Really Cause Different PSO Performance? Further Results},
author = {{Paul Moritz Nörenberg and Hendrik Richter},
journal= {arXiv preprint arXiv:2309.08449},
year = {2023}
}
Comments
arXiv admin note: text overlap with arXiv:2303.14099