Network Models and Optimization: Multiobjective Hybrid GA Approach

DANIEL J. EPSTEIN DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING SEMINARTitle: "Network Models and Optimization: Multiobjective Hybrid GA Approach"Guest Speaker: Mitsuo Gen, PhD, Fuzzy Logic Systems Institute, Iizuka, Japan, gen@flsi.or.jpDate/Time/Place: Thursday, November 5, 2009, 3:30–4:50 PM, Andrus Gerontology Building (GER) Room 309ABSTRACT: Network models provide a useful way for modeling various real world problems and are extensively used in many different types of systems: Mechanical, Electronic, Communications, Manufacturing and Logistics areas. Network design optimization is basically a fundamental issue in various fields, including Applied Mathematics, Computer Science, Engineering, Management, and Operations Research. Network models and design optimization for various Routing/Scheduling problems in Transportation, Communication, Manufacturing and Logistics systems also provide a useful way as one of case studies in real world problems and are extensively used in practice.
Genetic and Evolutionary Algorithms in AI (Artificial Intelligence) technique have recently received a considerable attention because of its potential of being a very effective design optimization technique for solving various NP hard problems and complex Information Processing, Manufacturing and Logistics systems.
The Tutorial introduces a thorough treatment of Multiobjective Hybrid Genetic Algorithms (moh-GA) to treat the following network optimization problems based on the book, M. Gen, R. Cheng & L. Lin: "Network Models and Optimization: Multiobjective Genetic Algorithm Approach", 710pp, Springer, London, 2008:Part 1. Shortest Path Routing ModelsPart 2. MST (Minimum Spanning Tree)-based Network ModelsPart 3. AGV (Automatic Guided Vehicle) Network Model in FMS BIO: Dr. Mitsuo Gen is a Visiting Scientist at Fuzzy Logic Systems Institute, Iizuka, Japan since Aug. 2009 and was a Visiting Prof. at Pohang University of Science & Technology (Sept. 2008 - Feb. 2009) and joined as a Professor at Graduate School of Information, Production and Systems, Waseda University, Japan since April 2003. He received a PhD in Engineering from Kogakuin University in 1974 and PhD in Informatics from Kyoto University in 2006. He was a Lecturer during 1974–1980, an Associate Professor during 1980–1987, a Professor during 1987–2003 at Ashikaga Institute of Technology. He was a Visiting Associate Professor at the University of Nebraska-Lincoln, USA in 1981–1982 and a Visiting Professor at University of California at Berkeley, USA from Aug. 1999 to March 2000. His research interests include Genetic & Evolutionary Algorithms, Artificial Neural Network, Fuzzy Logic & Systems and their applications to scheduling, network design, system reliability design, etc. He has authored several books, such as Genetic Algorithms and Engineering Design, John Wiley & Sons, New York (1997), Genetic Algorithms and Engineering Optimization, John Wiley & Sons, New York (2000) with Dr. R. Cheng and Network Models and Optimization: Multiobjective Genetic Algorithm Approach, Springer, London (2008) with Dr. R. Cheng and Dr. L. Lin, edited Intelligent and Evolutionary Systems, 240pp, Studies in Computational Intelligence, vol. 187, Springer-Verlag, Heidelberg (2009) by Dr. M. Gen et al. and published many papers in network design and optimization area from international journals.

Location: Ethel Percy Andrus Gerontology Center (GER) - 309

Audiences: Everyone Is Invited

Contact: Georgia Lum