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CSI6557-01 Evolutionary Computation

The Evolutionary Computation course (CSI6557-01) in Fall 2009 is instructed by Prof. Sung-Bae Cho and TA Su-Hyeong Chang at Yonsei University. It covers genetic algorithms, artificial intelligence, and evolutionary models. Key topics include problem-solving with GA, theoretical foundations, implementations, and various applications. Evaluation consists of a term project (50%), a written exam (20%), and homework (30%). Students are encouraged to present their findings at the 2010 IEEE World Congress on Computational Intelligence in Barcelona.

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CSI6557-01 Evolutionary Computation

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  1. CSI6557-01 Evolutionary Computation Fall Semester, 2009

  2. Teaching Staff • Lecturer • Sung-Bae Cho (C515;  2123-2720; sbcho@cs.yonsei.ac.kr) • TA • Su-Hyeong Chang (neogates@sclab.yonsei.ac.kr) • Web page: http://sclab.yonsei.ac.kr/Courses/08EC • Hours : Tue 6, Thu 4, 5 • Place : A646 • Office Hours : Thu 6, 7

  3. Course Materials • Textbook • M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, 1996 • L. Fogel, Artificial Intelligence through Simulated Evolution, John Wiley & Sons, 1966 • T. Back, D.B. Fogel and T. Michalewicz, Evolutionary Computation 1 & 2, IOP Publishing Co, 2000 • D.E. Goldberg, Genetic Algorithms in Search, Optimization & Machine Learning, Addison Wesley, 1989 • D.B. Fogel, Evolutionary Computation, IEEE Press, 1995 • Related Conference Proceedings (CEC, GECCO, etc)

  4. Evaluation Criteria • Evaluation Criteria • Term Project (written report and an oral presentation) : 50% • Written Exam : 20% • Homework : 30% • Term Project (Oral presentation is required) : • Theoretical Issue (Analysis, Experiment, Simulation) : Originality • Interesting Programming (Game, Demo, etc) : Performance • Survey : Completeness

  5. Course Schedule 1. Course Introduction, GA: An Overview (M, chap 1) 2. Special Lecture on NIPD Game 3. GA in Problem Solving (M, chap 2), CIG-competition (1) 4. GA in Scientific Models (M, chap 3), CIG-competition (2) 5. Theoretical Foundations of GA (M, chap 4), CIG-competition (3) 6. Implementing a Genetic Algorithm (M, chap 5), CIG-competition (4) 7. Term project proposal presentation 8. 9/21~25: Mid-term exam 9. Co-evolution, Student presentation (1) 10. Niching, Student presentation (2) 11. Speciation, Student presentation (3) 12. Fitness sharing, Student presentation (4) 13. Evolvability, Student presentation (5) 14. Applications, Student presentation (6) 15. Term project presentation 16. 12/14~19 : Final exam

  6. Course Goal Request each student to submit a paper to the following conference: 2010 IEEE World Congress on Computational Intelligence (IEEE Congress on Evolutionary Computation) Barcelona, Spain, July 18~23, 2010 Deadline: January 31, 2010

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