Genetic Programming Theory and Practice II (Genetic Programming (8)) (v. 2)

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. Genetic Programming: Theory And Practice -- Discovering Financial Technical Trading Rules Using Genetic Programming With Lambda Abstraction -- Using Genetic Programming In Industrial Statistical Model Building -- Population Sizing For Genetic Programming Based On Decision-making -- Considering The Roles Of Structure In Problem Solving By Computer -- Lessons Learned Using Genetic Programming In A Stock Picking Context -- Favourable Biasing Of Function Sets Using Run Transferable Libraries -- Toward Automated Design Of Industrial-strength Analog Circuits By Means Of Genetic Programming -- Topological Synthesis Of Robust Dynamic Systems By Sustainable Genetic Programming -- Does Genetic Programming Inherently Adopt Structured Design Techniques? -- Genetic Programming Of An Algorithmic Chemistry -- Acgp: Adaptable Constrained Genetic Programming -- Using Genetic Programming To Search For Supply Chain Reordering Policies -- Cartesian Genetic Programming And The Post Docking Filtering Problem -- Listening To Data: Tuning A Genetic Programming System -- Incident Detection On Highways -- Pareto-front Exploitation In Symbolic Regression -- An Evolved Antenna For Deployment On Nasa’s Space Technology 5 Mission. Edited By Una-may O’reilly, Tina Yu, Rick Riolo, Bill Worzel. 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. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants. Genetic Programming: Theory and Practice....Pages 1-10 Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda Abstraction....Pages 11-30 Using Genetic Programming in Industrial Statistical Model Building....Pages 31-48 Population Sizing for Genetic Programming Based on Decision-Making....Pages 49-65 Considering the Roles of Structure in Problem Solving by Computer....Pages 67-86 Lessons Learned Using Genetic Programming in a Stock Picking Context....Pages 87-102 Favourable Biasing of Function Sets Using Run Transferable Libraries....Pages 103-120 Toward Automated Design of Industrial-Strength Analog Circuits by Means of Genetic Programming....Pages 121-142 Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming....Pages 143-157 Does Genetic Programming Inherently Adopt Structured Design Techniques?....Pages 159-174 Genetic Programming of an Algorithmic Chemistry....Pages 175-190 ACGP: Adaptable Constrained Genetic Programming....Pages 191-206 Using Genetic Programming to Search for Supply Chain Reordering Policies....Pages 207-223 Cartesian Genetic Programming and the Post Docking Filtering Problem....Pages 225-244 Listening to Data: Tuning a Genetic Programming System....Pages 245-262 Incident Detection on Highways....Pages 263-282 Pareto-Front Exploitation in Symbolic Regression....Pages 283-299 An Evolved Antenna for Deployment on Nasa’s Space Technology 5 Mission....Pages 301-315 "Genetic programming theory and practice II 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."--Résumé de l'éditeur "Genetic programming theory and practice II 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."--Jacket Genetic programming (GP) is a rapidly maturing technology that is making significant strides toward applications which demonstrate that it is a sustainable science.