Genetic programming theory and practice II
By: edited by Una-May O'Reilly ... [et al.].
Contributors: NetLibrary, Inc; SpringerLink (Online service)
Series: Genetic programming series -- GPEM 08
Publisher: Springer Science+Business Media
Published: 2005
Place of publication: New York
Language: eng
Format: [electronic resource] /
Number of pages: 320
Subjects: Congresses; Genetic programming (Computer science)
Description: 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.
Notes: "The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004"--Pref.

Includes bibliographical references and index.

Electronic data. Boulder, Colo. : NetLibrary, 2005.

Mode of access: Intranet.