Abstract
This collection of papers arose from a genetic programming (GP) workshop at the Fifth International Conference on Genetic Algorithms in 1993. The intended audience is the intermediate practitioner. While both beginner and advanced level papers are present in the book, I believe that someone who is already familiar with the field of genetic programming will get the most benefit from this book. The papers present a good blend of theoretical and experimental topics in GP. This book is also not just intended for academicians, some of the authors hold regular daytime jobs in industry and indulge in GP research only in their free time.
- Koza, John R. Genetic Programming, On the Programming of Computers by Means of Natural Selection. Cambridge, MA: MIT Press. 1992. Google ScholarDigital Library
- Koza, John R. (Ed.) Genetic Algorithms at Stanford 1993. Stanford, CA: Stanford University Bookstore. 1993.Google Scholar
- Koza, John R. (Ed.) Artificial Life at Stanford 1993. Stanford, CA: Stanford University Bookstore. 1994.Google Scholar
- Koza, John R. (Ed.) Genetic Algorithms at Stanford 1994. Stanford, CA: Stanford University Bookstore. 1994.Google Scholar
- Masand, Brij. Optimizing confidence of text classification by evolution of symbolic expressions. In Kenneth E. Kinnear, Jr. (Ed.), Advances in Genetic Programming, Cambridge, MA: MIT Press. 1994. pp. 445--458. Google ScholarDigital Library
- Reynolds, Craig W. Evolution of obstacle avoidance behavior: Using noise to promote robust solutions. In Kenneth E. Kinnear, Jr. (Ed.) Advances in Genetic Programming. Cambridge, MA: MIT Press. 1994. pp. 221--241. Google ScholarDigital Library
- Tackett, Walter A., and Aviram Carmi. The donut problem: Scalability, generalization and breeding policies in genetic programming. In Kenneth E. Kinnear, Jr. (Ed.) Advances in Genetic Programming. Cambridge, MA: MIT Press. 1994. pp. 143--176. Google ScholarDigital Library
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Book review: Genetic Programming I1: Automatic Discovery of Reusable Programs by John R. Koza (The MIT Press 1994)
This book is a followon to the book in which John Koza introduced genetic programming (GP) to the world "enetic Programming: On the Programming of Computers by Means of Natural Selection" [5]1. As such, the primary intended audience is someone already ...
Book review
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