Swarm optimised few-view binary tomography

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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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.


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