Hybrid optimisation technique for radiotherapy treatment planning

Olivier C.L. Haas, Keith J. Burnham, John A. Mills

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

3 Citations (Scopus)

Abstract

Presents an optimisation strategy, based on a hybrid multi-objective genetic algorithm, to automate the planning of traditional radiotherapy treatment. The optimisation algorithm is formulated around the concept of Pareto optimality to exploit a population based search procedure thereby considering each of the objectives independently. It explores the solutions belonging to the Pareto optimal set prior to concentrating on the best regions of the search space. Once the Pareto optimal set has been determined, a posteriori articulation of the objectives is used to provide the clinicians with a few alternative solutions, all of them non-dominated and therefore mathematically optimal, leaving the final decision to the clinicians
Original languageEnglish
Title of host publicationProceedings of the 1998 IEEE International Conference on Control Applications
PublisherIEEE
Pages368-372
Volume1
ISBN (Print)0-7803-4104-X
DOIs
Publication statusPublished - 1 Sep 1998

Bibliographical note

This conference paper is not yet available on the repository. The paper was given at the 1998 IEEE International Conference on Control Applications, Trieste, Italy, 1-4 September 1998

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  • Cite this

    Haas, O. C. L., Burnham, K. J., & Mills, J. A. (1998). Hybrid optimisation technique for radiotherapy treatment planning. In Proceedings of the 1998 IEEE International Conference on Control Applications (Vol. 1, pp. 368-372). IEEE. https://doi.org/10.1109/CCA.1998.728450