In 2003 the Center for Complex Studies (CSCS) of the University of Michigan organized the first Genetic Programming Theory and PracticeWorkshop to bring together practioners and theorists to bridge the gap between what practicioners were doing and what theorists were studying. In the introductory chapter of that volume the authors described Genetic Programming (GP) as “a young art that is just beginning to make its way into applications programming in a serious way” (Riolo and Worzel, 2004). Five years later GP is still a relatively young field, but it is rapidlymaturing and has produced a substantial track record of significant successes on large-scale, real world applications. However, these successes are still generally achieved by researchers with significant expert knowledge of GP; successful application of GP to large scale problems remains out of the reach of novices. The lack of a rigorous, detailed theory that is mature enough to guide the development of GP systems to solve specific problems contributes to this weakness. Thus, there remains an on-going need to both strengthen theory and to keep it closely tied to the practice of GP. The Genetic Programming Theory and Practice Workshops remain focused on this goal.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Riolo, Rick L. and Worzel, Bill, editors (2004). Genetic Programming Theory and Practice, volume 6 of Genetic Programming, Ann Arbor, MI, USA. Kluwer.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Soule, T., Riolo, R.L., Worzel, B. (2008). Genetic Programming: Theory and Practice. In: Riolo, R., Soule, T., Worzel, B. (eds) Genetic Programming Theory and Practice V. Genetic and Evolutionary Computation Series. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-76308-8_1
Download citation
DOI: https://doi.org/10.1007/978-0-387-76308-8_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-76307-1
Online ISBN: 978-0-387-76308-8
eBook Packages: Computer ScienceComputer Science (R0)