Genetic Programming Theory and Practice II [electronic resource] /
O'Reilly, Una-May.editor.
Yu, Tina.editor.
Riolo, Rick.editor.
Worzel, Bill.editor.
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.
"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.
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.
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.
Artificial intelligence.
Software engineering.
Computers.
Algorithms.
Computer programming.
Artificial Intelligence.
Software Engineering/Programming and Operating Systems.
Theory of Computation.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Programming Techniques.


Genetic Programming