plays a very important role in learning computer relative courses. ... He received the bachelor's degree in computer and information science from the National.
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IEEE TRANSACTIONS ON EDUCATION, VOL. 44, NO. 2, MAY 2001
An Educational Genetic Algorithms Learning Tool Ying-Hong Liao and Chuen-Tsai Sun
Index Terms—Evolutionary computation, genetic algorithms, implementation, learning tool. I. SUMMARY During the last 30 years there has been a rapidly growing interest in a field called genetic algorithms (GAs). The field is at a stage of tremendous growth as evidenced by the increasing number of conferences, workshops, and papers concerning it, as well as the emergence of a central journal for the field. With their great robustness, genetic algorithms have proven to be a promising technique for many optimization, design, control, and machine learning applications. Students who take a GAs course study and implement a wide range of difference techniques of GAs. And practical implementation experience plays a very important role in learning computer relative courses. Herein, an educational genetic algorithm learning tool (EGALT) has been developed to help students facilitate GAs course. With the readily available tool students can reduce the mechanical programming aspect of learning and concentrate on principles alone. A friendly graphic user interface was established to help students operate and control not only the structural identification but also the parametric identification of GAs. It outlines how to implemented genetic algorithms, how to set parameters of different kinds of problems, and recommends a set of genetic algorithms, which were suggested in previous studies.
Ying-Hong Liao was born in Taiwan in 1972. He received the bachelor’s degree in computer and information science from the National Chiao Tung University, where he is currently pursuing the Ph.D.degree. His research interests include machine learning, evolutionary computation, and computer-aided instruction.
Chun-Tsai Sun received the bachelor’s degree in electrical engineering and the master’s degree in history from National Taiwan University, and the Ph.D. degree in computer science from the University of California, Berkeley. He is an Assistant Professor of Computer and Information Science at National Chiao Tung University in Taiwan. His research interests are in the field of evolutionary computation, fuzzy systems, neural networks, artificial intelligence, computer aided instruction, and distant cooperative learning.
CD-ROM folder 14. The authors are with the Department of Computer and Information Science, National Chiau Tung University, Hsinchu, Taiwan 30050, R.O.C. Publisher Item Identifier S 0018-9359(01)05712-0. 0018–9359/01$10.00 © 2001 IEEE
