Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients

Dobrila Petrovic, Mohammad Morshed, Sanj Petrovic

    Research output: Contribution to journalArticle

    13 Citations (Scopus)

    Abstract

    This paper presents a multi-objective model for scheduling of radiotherapy treatments for cancer patients based on genetic algorithms (GA). The model is developed and implemented considering real life radiotherapy treatment processes at Arden Cancer Centre, Coventry, UK. Two objectives are defined: minimisation of the Average patient waiting times and minimisation of Average tardiness of the patient first treatment fractions. Two scenarios are analysed considering the availability of the doctors to approve treatment plans. The schedules generated by the GA using real data collected from the collaborating Cancer Centre have good performance. It is demonstrated that enabling doctors to approve treatment plans instantly has a great impact on Average waiting time and Average tardiness for all patient categories.
    Original languageEnglish
    Pages (from-to)101-105
    JournalLecture Notes in Computer Science
    Volume5651
    Issue number2009
    DOIs
    Publication statusPublished - 2009

    Bibliographical note

    This paper is not available on the repository. The paper was given at the 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009.

    Keywords

    • Radiotherapy
    • Genetic Algorithms
    • Scheduling
    • Waiting Times

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