Cover Image

Advances in genetic programming /

Bibliographic Details
Other Authors: Kinnear, Kenneth E.
Format: Book
Language:English
Published: Cambridge, Mass. : MIT Press, [1994]
Series:Complex adaptive systems.
Subjects:
Computer programming.
Table of Contents:
  • A perspective on the work in this book / Kenneth E. Kinnear, Jr.
  • Introduction to genetic programming / John R. Koza
  • The evolution of evolvability in genetic programming / Lee Altenberg
  • Genetic programming and emergent intelligence / Peter J. Angeline
  • Scalable learning in genetic programming using automatic function definition / John R. Koza
  • Alternatives in automatic function definition: a comparison of performance / Kenneth E. Kinnear, Jr.
  • The donut problem: scalability, generalization and breeding policies in genetic programming / Walter Alden Tackett, Aviram Carmi
  • Effects of locality in individual and population evolution / Patrik D'haeseleer, Jason Bluming
  • The evolution of mental models / Astro Teller
  • Evolution of obstacle avoidance behavior: using noise to promote robust solutions / Craig W. Reynolds
  • Pygmies and civil servants / Conor Ryan
  • Genetic programming using a minimum decsription length principle / Hitoshi Iba, Hugo de Garis, Taisuke Sato
  • Genetic programming in C++: implementation issues / Mike J. Keith, Martin C. Martin.
  • A compiling genetic programming system that directly manipulates the machine code / Peter Nordin
  • Automatic generation of programs for crawling and walking / Graham Spencer
  • Genetic programming for the acquisition of double auction market strategies / Martin Andrews, Richard Prager
  • Two scientific applications of genetic programming: stack filters and non-linear equation fitting to chaotic data / Howard Oakley
  • The automatic generation of plans for a mobile robot via genetic programming with automatically defined functions / Simon G. Handley
  • Competitively evolving decision trees against fixed training cases for natural language processing / Eric V. Siegel
  • Cracking and co-evolving randomizers / Jan Jannink
  • Optimizing confidence of text classification by evolution of symbolic expressions / Brij Masand
  • Evolvable 3D modeling for model-based object recognition systems / Thang Nguyen, Thomas Huang.
  • Automatically defined features: the simultaneous evolution of 2-dimensional feature detectors and an algorithm for using them / David Andre
  • Genetic micro programming of neural networks / Frédéric Gruau.