Genetic Programming Theory and Practice II / Edition 1

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Overview

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.

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Product Details

  • ISBN-13: 9780387232539
  • Publisher: Springer US
  • Publication date: 10/26/2004
  • Series: Genetic Programming Series , #8
  • Edition description: 2005
  • Edition number: 1
  • Pages: 320
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.81 (d)

Table of Contents

1 Genetic programming : theory and practice 1
2 Discovering financial technical trading rules using genetic programming with lambda abstraction 11
3 Using genetic programming in industrial statistical model building 31
4 Population sizing for genetic programming based on decision-making 49
5 Considering the roles of structure in problem solving by computer 67
6 Lessons learned using genetic programming in a stock picking context 87
7 Favourable biasing of function sets 103
8 Toward automated design of industrial-strength analog circuits by means of genetic programming 121
9 Topological synthesis of robust dynamic systems of sustainable genetic programming 143
10 Does genetic programming inherently adopt structured design techniques? 159
11 Genetic programming of an algorithmic chemistry 175
12 ACGP : adaptable constrained genetic programming 191
13 Using genetic programming to search for supply chain reordering policies 207
14 Cartesian genetic programming and the post docking filtering problem 225
15 Listening to data : tuning a genetic programming system 245
16 Incident detection on highways 263
17 Pareto-front exploitation in symbolic regression 283
18 An evolved antenna for deployment on NASA's space technology 5 mission 301
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