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Genetic Algorithm for Event Scheduling System

Abd. Samad Hasan Basari, and Siti Musliza Jalal, and Burairah Hussin, and Nabihah Mohd Isa, (2010) Genetic Algorithm for Event Scheduling System. Journal of Telecommunication, Electronics and Computer Engineering, 2 (2). pp. 75-80. ISSN 2180 - 1843

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Official URL: http://www.utem.edu.my

Affiliations

Universiti Teknikal Malaysia Melaka
Universiti Teknikal Malaysia Melaka
Universiti Teknikal Malaysia Melaka

Abstract

UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users
with events priority. This newer system intend be more user friendly by providing organized management. The improved version is also designed to have the capability of sending Short Message Service (SMS) among UTeM’s staff to notify them of future events. Some researches about another existing Event Alert Sytem are carried to provide more understanding to the system to be developed. UTeM-EAS then is created by exploiting one of AI approach namely Genetic Algorithm (GA) with Crossover Technique. There are four main interfaces that ask for login information, add, edit and view events details. As for the development environment, UTeM-EAS is developed and to run in windows XP with support of Adobe Dreamweaver and MS SQL Server. Ozeki Messager 6 are installed and configured for this system to operate with its SMS function. The functionality, usability and security testing are conducted between UTeM’s staffs and administrators itself to measure the performance and user acceptance of the proposed system. Aside from achieving its development objectives, UTeM-EAS also gain great satisfactions from most of its tested users. The system could be more efficient if password encryption is applied and the system is able to reply the message sent by UTeM’s staff asking for further events details.

Item Type:Journal
Keywords:intelligent system; genetic algorithm; artificial intelligence.
Subjects:T Technology, Engineering
ID Code:11541

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No. 2, July 2000, pp. 93-113.

[3] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd Ed. Upper Saddle River, New Jersey:

Pearson, 2010.

[4] T. Yamada and R. Nakano, “A Genetic Algorithm with Multi-Step Crossover for Job-Shop Scheduling Problems”, Genetic Algorithms in Engineering Systems: Innovations and Applications, 12-14 September 1995, pp.146-151.

[5] A. Idris, A.S.H Basari and N. Zubir, “An Application of SMS Technology for Customer Service Centre” International Conference on Social Computing and Pattern Recognition, Melaka, Malaysia, pp. 633 - 636, 2009.

[6] A.S.H. Basari, A.M. Zain, N.K. Ibrahim, N.Yusof and S.A. Asmai, “A Mobile Disaster Alert Intelligent System”

Proceedings of MUCET 2010, Melaka, Malaysia, pp. 291-294, 2010.

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