Abstract: | Many applications of Mathematics and Computer Science to real world problems impose on more complex issues, such as complex structure, complex constraints, and multiple objectives to be handled simultaneously and make the problem intractable to the traditional approaches. Network models provide a useful way for modeling various operation management problems and are extensively used in many different types of systems: Manufacturing and Logistics areas. Network-based optimization is basically a fundamental issue in various fields. Network models and optimization for various routing problems in transportation systems also provide a useful way as 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 optimization technique for solving various NP hard optimization problems and complex information processing, transportation and logistics network systems. This talk introduces a thorough treatment of a Hybridized Genetic Algorithm (HGA) and Multiobjective Genetic Algorithm (MOGA) to solve Supply Chain Network Design problem and Bicriteria AGV (Automatic Guided Vehicle) Dispatching problem respectively related with the professional book: Mitsuo Gen, Runwei Cheng and Lin Lin: “Network Models and Optimization: Multiobjective Genetic Algorithms”, 710pp Springer, London, 2008: http://www.springer.com/engineering/production+eng/book/978-1-84800-180-0 |
Date: | 16 October 2013 |
Time: | 11:00am - 1:00pm |
Speaker: |
Prof Mitsuo Gen Fuzzy Logic Systems Institute Japan & National Tsing Hua University |
Venue: | Room 14-222, 14/F, Academic 3, City University of Hong Kong |
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