Reading Material Covered by the Class
Reading Material Covered by the Class
- Zbigniew Michalewicz: “Genetic Algorithms + Data Structures = Evolution Programs’, Springer 1994. The course covers chapters 1,2,3,4,5,6,8,10 more or less completely, and the chapters 7 and 11 partially.
- David Goldberg: “Genetic Algorithms in Search, Optimization, and Machine Learning”, Addison Wesley, 1989. The course covers chapters 5 “Advanced Operators and Techniques in Genetic Search” and 6 “Introduction to Genetic-Based Machine Learning” of the book.
- Melanie Mitchell: “Introduction to Genetic Algorithms”, MIT Press, fourthcoming, to appear Fall 1995. The course covers section 1.9.2 “Host and Parasites: Using GAs to Evolve Sorting Networks”, section 2.2.2 “Evolving Cellular Automata”; moreover, it covers chapter 4 “Theoretical Foundations of Genetic Algorithms” partially.
- John Koza: “Genetic Programming II --- Automatic Discovery of Reusable Programs, MIT Press, 1994. The course covers chapter 2 completely, and chapters 3 and 4 partially.
- C.F. Eick, Y.J. Kim, N. Secomandi and E. Toto: “Learning Diagnostic Rules with Genetic Algorithms”, submitted for publication to IEEE SMC, September 1994. Gives an introduction to the DELVAUX system that learns Bayesian rules for classification tasks with genetic algorithms.