Genetic Algorithm Applied to Radiotherapy Treatment Planning

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

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review


    Conformal therapy attempts to produce accurate medical treatment that will produce a uniform dose over cancerous regions whilst at the same time sparing healthy tissues, especially the organs at risk. The constrained optimisation problem, that consists of working back from a given dose specification to elemental beam weight intensities is referred as the so called inverse problem. Due to the nature of the problem and in particular to its conflicting objectives, it is believed that heuristic techniques may have advantages over direct methods to solve for the beam intensities.
    Original languageEnglish
    Title of host publicationArtificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995
    EditorsD.W. Pearson, N. C. Steele, R. F. Albrecht
    Place of PublicationVienna, Austria
    PublisherSpringer Verlag
    Number of pages4
    ISBN (Print)978-3-211-82692-8
    Publication statusPublished - 1995

    Bibliographical note

    This conference paper is not available on the repository. The paper was given at the Artificial Neural Nets and Genetic Algorithms International Conference in Alès, France, 1995


    • Artificial Intelligence (incl. Robotics)
    • Business Information Systems
    • Complexity
    • Information Storage and Retrieval
    • Data Storage Representation
    • Memory Structures


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