کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10322953 660879 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patients
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Multi-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patients
چکیده انگلیسی
► We developed and implemented three genetic algorithms (GAs) for scheduling radiotherapy treatments for different patient categories: (1) Standard-GA, which considers all patient categories equally, (2) KB-GA, which has an embedded knowledge on the scheduling of emergency patient category and (3) Weighted-GA, which operates with different weights given to the patient categories. Performances of generated schedules were compared using real life data and statistical analysis. KB-GA generated the schedules with best performance considering emergency patients and KB-GA and Weighted-GA generated better performance schedules for emergency and palliative patients simultaneously than Standard-GA.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 6994-7002
نویسندگان
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