Al-Rifaie, Mohammad Majid ORCID: https://orcid.org/0000-0002-1798-9615 and Bishop, John Mark (2013) Stochastic diffusion search review. Paladyn, Journal of Behavioral Robotics, 4 (3). pp. 155-173. ISSN 2080-9778 (Print), 2081-4836 (Online) (doi:10.2478/pjbr-2013-0021)

Preview

PDF AL RIFAIE_ 21024_stochastic_diffusion_search_review.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview

Abstract

Stochastic Diffusion Search, first incepted in 1989, belongs to the extended family of swarm intelligence algorithms. In contrast to many nature-inspired algorithms, stochastic diffusion search has a strong mathematical framework describing its behaviour and convergence. In addition to concisely exploring the algorithm in the context of natural swarm intelligence systems, this paper reviews various developments of the algorithm, which have been shown to perform well in a variety of application domains including continuous optimisation, implementation on hardware and medical imaging. This algorithm has also being utilised to argue the potential computational creativity of swarm intelligence systems through the two phases of exploration and exploitation

Item Type:	Article
Uncontrolled Keywords:	Stochastic diffusion search, SDS
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/21024

Actions (login required)

View Item

Downloads