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العنوان
Resource Constrained Project Scheduling Using /
Genetic Algorithm
المؤلف
Elsalhy,Amr Mohamed Taha
هيئة الاعداد
باحث / عمرو محمد الصالحى
مشرف / ناهد صبحى عبد النور
مناقش / محمد حسن جاد الله
مناقش / أمين محمد الخربطلى
تاريخ النشر
2013.
عدد الصفحات
x,183 p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Computational Mechanics
تاريخ الإجازة
28/8/2013
مكان الإجازة
جامعة عين شمس - كلية الهندسة - التصميم وهندسة الإنتاج
الفهرس
Only 14 pages are availabe for public view

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Abstract

Resources constrained project scheduling problem is very common in industry
and one of the most complicated problems to be tackled.
The problem is considered as an NP-Hard optimization problem; especially,
when a set of large number of activities need to be finished as soon as possible,
subject to two sets of constraints (precedence constraints, and resources
constraints).
Researchers have developed numerous scheduling methods and techniques to
overcome the complex nature of this problem.
Genetic Algorithms are very promising approaches to solve this problem, in
terms of the computational feasibility, and the quality of the solutions.
However, the most common models of the genetic algorithms are difficult to be
implemented in scheduling problems. On the other hand, using specific and
proper design of the genetic algorithms can make the scheduling problems
tractable.