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
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
⺠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
Journal: Expert Systems with Applications - Volume 38, Issue 6, June 2011, Pages 6994-7002
نویسندگان
Dobrila Petrovic, Mohammad Morshed, Sanja Petrovic,