Swarm optimised few-view binary tomography

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Al-Rifaie, Mohammad Majid and Blackwell, Tim. 2022. 'Swarm optimised few-view binary tomography'. In: International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Madrid, Spain 20–22 April 2022. [Conference or Workshop Item]

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Official URL: https://link.springer.com/chapter/10.1007/978-3-03...

Abstract or Description

This paper considers a swarm optimisation approach to few- view tomographic reconstruction. DFOMAX, a high diversity swarm op- timiser, demonstrably reconstructs binary images to a high fidelity, out- performing a leading algebraic technique, differential evolution and parti- cle swarm optimisation on four standard phantoms. The paper considers the effectiveness of optimisers that have been developed for optimal low dimensional performance and concludes that trial solution clamping on the walls of the feasible search space is important for good performance.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1007/978-3-031-02462-7_3

Additional Information:

“This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-02462-7_3. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms”.

Keywords:

Swarm optimisation, Binary tomography, High dimensional optimisation

Departments, Centres and Research Units:

Computing

Dates: