Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
The donut problem: scalability, generalization and breeding policies in genetic programming
Advances in genetic programming
Evolution of obstacle avoidance behavior: using noise to promote robust solutions
Advances in genetic programming
Optimizing confidence of text classification by evolution of symbolic expressions
Advances in genetic programming
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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.