Genetic algorithm for the training time assignment problem of core laboratories

Authors:
Hui-Fan Tsai;Tung-Shou Chen;Rong-Chang Chen;Jung-Chang Chen
Affiliations:
School of Medical Laboratory and Biotechnology, Chung Shan Medical University, Taiwan, ROC;Graduate Institute of Computer Science and Information Technology, National Taichung Institute of Technology, Taichung, Taiwan, ROC;Department of Logistics Engineering and Management, National Taichung Institute of Technology, Taichung, Taiwan, ROC;Department of Logistics Engineering and Management, National Taichung Institute of Technology, Taichung, Taiwan, ROC
Venue:
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Year:
2008

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Abstract

In this study, we use genetic algorithm (GA) as a tool for analyzing the training time assignment problem. The problem is concerned with the allocation of the available time of a core laboratory with high-precision and valuable equipment, which needs a teacher or a professional to provide appropriate training, to students of a medical technology related department. Students are asked to select from a list of possible training time and to indicate their preferred choices in advance. As expected, some of the more popular available time has become 'over-subscribed' and the assignment becomes a complicated problem. Results from this study show that by employing GA, the complex problem can be well solved and better allocations can be generated.