奈米工程與微系統研究所　書報討論

Seminar of Inst. NanoEngineering and MicroSystems

葉維彰 特聘教授

國立清華大學 工工系

Prof. Wei-Chang Yeh, Distinguish Professor,

Department of Industrial Engineering and Engineering Management (IEEM), National Tsing Hua University

E-mail : yeh@ieee.org

Novel Swarm Optimization for Mining Classification Rules on Thyroid Gland Data

Abstract

This work uses a novel rule-based classifier design method, constructed by using improved simplified swarm optimization (SSO), to mine a thyroid gland dataset from UCI databases. An elite concept is added to the proposed method to improve solution quality, close interval encoding (CIE) is added to efficiently represent the rule structure, and the orthogonal array test (OAT) is added to powerfully prune rules to avoid over-fitting the training dataset. To evaluate the classification performance of the proposed improved SSO, computer simulations are performed on well-known thyroid gland data. Computational results compare favorably with those obtained using existing algorithms such as conventional classifiers, including Bayes classifier, k-NN, k-Means, and 2D-SOM, and soft computing based methods such as the simple SSO, immune-estimation of distribution algorithms (IEDA), and genetic algorithm (GA).

Yeh is currently a distinguished professor of the Department of Industrial Engineering and Engineering Management at National Tsing Hua University in Taiwan. He received his M.S. and Ph.D. from the Department of Industrial Engineering at the University of Texas at Arlington. The majority of his research is focused around algorithms, including exact solution methods and soft computing. He has published more than 250 research papers in highly ranked journals and conference papers and has been awarded the Outstanding Research Award twice, the Distinguished Scholars Research Project once, and an Overseas Research Fellowship twice by the Ministry of Science and Technology in Taiwan. He has been invited to serve as an Associate Editor of the two top reliability related journals, namely, the IEEE Transactions on Reliability and Reliability Engineering & System Safety. He proposed a novel soft computing algorithm called the simplified swarm optimization (SSO) and demonstrated the simplicity, effectiveness, and efficiency of his SSO for solving NP-hard problems. He has been granted 50 patents and ear an International Fellow, the Guoguang Invention Medal as well as the titles of Outstanding Inventor of Taiwan and Doctor of Erudition, by the Chinese Innovation and Invention Society.

2018年10月01日(週一)，1530－1720，工程一館108室

15:30-17:20 on Oct. 01 (Mon), 2018 in Room 108 of Eng. Building I

Host：Prof. Da-Jeng Yao  djyao@mx.nthu.edu.tw Ext: 42850

Contact：黃微稜 hwleng@mx.nthu.edu.tw  Ext: 33737

TA：李志恩 c27180339@gmail.com