University Courses Scheduling Using Cat Swarm Optimization Algorithm
International Journal of Advanced Research in Computer Science & Technology (IJARCST 2016) • 2016
Publication Information
Authors
Ali Hussein Khalaf, Hazem M.El-Bakry, Sahar fawzy Sabbeh
Keywords
University Course Timetabling Problem, Cat Swarm Optimization (CSO), Seeking Mode, Tracing Mode.
Journal
International Journal of Advanced Research in Computer Science & Technology (IJARCST 2016)
Publisher
Not Available
Volume
4
Issue
1
Pages
7
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
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.
Staff Members - Benha University