Al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615 (2021) Exploration and exploitation zones in a minimalist swarm optimiser. Entropy, 23 (8):977. ISSN 1099-4300 (doi:https://doi.org/10.3390/e23080977)

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Abstract

The trade off between exploration and exploitation is one of the key challenges in evolutionary and swarm optimisers which are led by guided and stochastic search. This work investigates the exploration and exploitation balance in a minimalist swarm optimiser in order to offer insights into the population’s behaviour. The minimalist and vector-stripped nature of the algorithm—dispersive flies optimisation or DFO—reduces the challenges of understanding particles’ oscillation around constantly changing centres, their influence on one another, and their trajectory. The aim is to examine the population’s dimensional behaviour in each iteration and each defined exploration-exploitation zone, and to subsequently offer improvements to the working of the optimiser. The derived variants, titled unified DFO or uDFO, are successfully applied to an extensive set of test functions, as well as high-dimensional tomographic reconstruction, which is an important inverse problem in medical and industrial imaging.

Item Type:	Article
Uncontrolled Keywords:	exploration, exploitation, diversity, zone analysis, dispersive flies optimisation, DFO
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	23 May 2022 10:26
URI:	http://gala.gre.ac.uk/id/eprint/33571

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