- editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel",
- title = "Genetic Programming Theory and Practice II",
- publisher = "Springer",
- year = "2004",
- volume = "8",
- series = "Genetic Programming",
- address = "Ann Arbor, MI, USA",
- month = "13-15 " # may,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0-387-23253-2",
-
URL = "
http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-40356-22-34954683-0,00.html",
-
DOI = "
doi:10.1007/b101112",
-
abstract = "About this book
This volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses met to examine how GP theory informs practice and how GP practice impacts GP theory. Chapters include such topics as financial trading rules, industrial statistical model building, population sizing, the roles of structure in problem solving by computer, stock picking, automated design of industrial-strength analog circuits, topological synthesis of robust systems, algorithmic chemistry, supply chain reordering policies, post docking filtering, an evolved antenna for a NASA mission and incident detection on highways.
Foreword by Dr. Dave Davis, Vice President of Product Research NuTech Solutions, Inc.,
It was my good fortune to be invited to the 2004 Genetic Programming Workshop on Theory and Practice, held in May in Ann Arbor, Michigan. The goals of the workshop were unique, as was the blend of participants. To my knowledge, this workshop is alone in focusing on and promoting the interaction between theory and practice in the evolutionary computation world. There are many workshops and conference tracks that are oriented toward one or the other of these two, mostly disjoint, areas of evolutionary computation work. To participate in a workshop promoting interactions between the two subfields was a great joy. The workshop organizers have summarized the various talks in the first chapter of this volume, and the reader can get a feel there for the talk I gave on the first day of the workshop. It is worth noting that a talk like mine, containing actual slides from training sessions for industrial practitioners of evolutionary computation, and containing a series of slides describing historically accurate but prickly interchanges between practitioners and theoreticians over the last twenty years, would most likely not have received a sympathetic hearing ten or twenty years ago. The attendees of this workshop, practitioners and theoreticians in roughly equal numbers, were able to laugh at some points, consider others, and during the course of the workshop, openly discuss issues related to the integration of theoretical and practical work in evolutionary computation.
Our field is maturing in both areas, and so are our approaches to promoting interactions between our field's practical and theoretical sub fields. There is a good deal to be gained by all of this in these types of interactions, and by the change in focus that they create. The papers in this year's workshop are very stimulating, and I look forward as well to reading next year's workshop volume, containing even more work lying on the frontiers between theory and application of evolutionary computation.",
- size = "320 pages",
