Title :
Optimum Design Course Supported by AIS Algorithm for Undergraduate Students
Author :
Shyr, Wen-Jye ; Lu, Chien-Yu
Author_Institution :
Dept. of Ind. Educ. & Technol., Nat. Changhua Univ. of Educ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
The optimum design course is taught for undergraduate students as a basic discipline in engineering and technology education. Optimum primarily aims to find the best possible combination of solutions, which can be termed as design parameters to maximize or minimize an optimization problem. The development of conventional approaches of optimum has dramatically influenced modern teaching technologies. In this paper, the AIS algorithm is proposed usefulness in optimum design course. The course material of an intensive course on optimum design has been supported by AIS algorithm for undergraduate students. Besides the conventional material a new conception of combined use of AIS algorithm is also introduced. Upon completion of this course, the students can explain basic concepts and terminologies associated with AIS algorithm, and explain basic steps of AIS algorithm. Finally, the students can use software based on AIS algorithm to solve optimum design problem
Keywords :
artificial intelligence; computer aided instruction; educational courses; engineering education; genetic algorithms; teaching; artificial immune system algorithm; engineering education; optimization; optimum design course; optimum design problem; teaching; technology education; undergraduate student; Algorithm design and analysis; Artificial immune systems; Convergence; Design engineering; Design optimization; Education; Educational technology; Genetic algorithms; Software algorithms; Terminology;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.129
