أعضاء هيئة التدريس - جامعة بنها
University Courses Scheduling Using Cat Swarm Optimization Algorithm
International Journal of Advanced Research in Computer Science & Technology (IJARCST 2016) • 2016
معلومات البحث
المؤلفون
Ali Hussein Khalaf, Hazem M.El-Bakry, Sahar fawzy Sabbeh
الكلمات المفتاحية
University Course Timetabling Problem, Cat Swarm Optimization (CSO), Seeking Mode, Tracing Mode.
المجلة العلمية
International Journal of Advanced Research in Computer Science & Technology (IJARCST 2016)
الناشر
Not Available
المجلد
4
العدد
1
الصفحات
7
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
This paper presents a new algorithm the for handling scheduling courses problems in universities. This algorithm namely Cat Swarm
Optimization(CSO) simulates the conduct of cats. There are two modes of this algorithm : Seeking and Tracing. Such algorithm relies
on Cats swarm optimization technology which simulates the demeanor of at Simulation result prone the elect times of the proposal algorithm it is recommended to apply this smart to change in differ schedule and limits tables to Saving time & effort.
Optimization(CSO) simulates the conduct of cats. There are two modes of this algorithm : Seeking and Tracing. Such algorithm relies
on Cats swarm optimization technology which simulates the demeanor of at Simulation result prone the elect times of the proposal algorithm it is recommended to apply this smart to change in differ schedule and limits tables to Saving time & effort.