202-2-5101, Semester Beit, 2012-2013
Lecturer: Prof. Moshe Sipper
- Web: www.cs.bgu.ac.il/~sipper/courses/atea132/
- Open to graduate students (and good undergrads with special permission,
סטודנטים לתואר ראשון באישור מרצה בלבד)
- Credits: 2
- Time & Place: Wednesday 12-14, 34/107
- Grade: Every student must give a 45-50 minute talk (alone) on a research topic, and do a small project.
- 5-point bonus for those presenting 2nd week, and 3-point bonus for those presenting 3rd week.
- Attendance in meetings is mandatory. Two students will talk each week, hence number of meetings equals number of students / 2 (rounded up). After meetings are over students will continue work on their small project.
- M. Sipper, Evolved to Win, Lulu, 2011. (freely downloadable)
- M. Sipper,
Machine Nature: The Coming Age of Bio-Inspired Computing,
McGraw-Hill, New York, 2002.
- A.E. Eiben and J.E. Smith, Introduction to Evolutionary Computing, Springer, 1st edition, 2003, Corr. 2nd printing, 2007.
- R. Poli, B. Langdon, & N. McPhee, A Field Guide to Genetic Programming, 2008. (freely downloadable)
- J. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA, 1992.
- S. Luke, Essentials of Metaheuristics, 2010. (freely downloadable)
- Z. Michalewicz & D.B. Fogel,
How to Solve It: Modern Heuristics, 2nd ed. Revised and Extended, 2004.
- Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, Berlin, 3rd edition, 1996.
- D. Floreano & C. Mattiussi,
Bio-Inspired Artificial Intelligence:
Theories, Methods, and Technologies, MIT Press, 2008.
- A. Tettamanzi & M. Tomassini,
Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems,
Springer-Verlag, Heidelberg, 2001.
||Amit Benbassat, Idan Himlich (5-point bonus)
||Elina Weinbrand, Shani Fedida (3-point bonus)
||Tamir Grossinger, Neta-Li Roverman