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9781402074448

Grammatical Evolution

by ;
  • ISBN13:

    9781402074448

  • ISBN10:

    1402074441

  • Format: Hardcover
  • Copyright: 2003-05-01
  • Publisher: Kluwer Academic Pub
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Supplemental Materials

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Summary

Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains. Beginning with an overview of the necessary background material in Genetic Programming and Molecular Biology, Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language outlines the current state of the art in grammatical and genotype-phenotype-based approaches. Following a description of Grammatical Evolution and its application to a number of example problems, an in-depth analysis of the approach is conducted, focusing on areas such as the degenerate genetic code, wrapping, and crossover. The book continues with a description of hot topics in Grammatical Evolution and presents possible directions for future research.

Author Biography

Michael O'Neill: University of Limerick, Ireland Conor Ryan: University of Limerick, Ireland

Table of Contents

Preface ix
Foreword xi
Acknowledgments xv
Introduction
1(4)
Evolutionary Automatic Programming
1(1)
Molecular Biology
2(1)
Grammars
2(1)
Outline
3(2)
Survey of Evolutionary Automatic Programming
5(18)
Introduction
5(1)
Evolutionary Automatic Programming
6(2)
Origin of the Species
8(2)
Tree-based Systems
10(7)
Genetic Programming
11(2)
Grammar based Genetic Programming
13(1)
Backus Naur Form
13(3)
Cellular Encoding
16(1)
Bias in GP
16(1)
Genetic Programming Kernel
16(1)
Combining GP and ILP
16(1)
Auto-parallelisation with GP
17(1)
String based GP
17(4)
BGP
18(1)
Machine Code Genetic Programming
19(1)
Genetic Algorithm for Deriving Software
20(1)
CFG/GP
21(1)
Conclusions
21(2)
Lessons From Molecular Biology
23(10)
Introduction
23(1)
Genetic Codes & Gene Expression Models
24(2)
Neutral Theory of Evolution
26(2)
Further Principles
28(1)
Desirable Features
29(3)
Conclusions
32(1)
Grammatical Evolution
33(16)
Introduction
33(1)
Background
34(1)
Grammatical Evolution
35(10)
The Biological Approach
36(1)
The Mapping Process
36(1)
Backus Naur Form
37(2)
Mapping Process Outline
39(1)
Example Individual
40(2)
Genetic Code Degeneracy
42(2)
The Search Algorithm
44(1)
Discussion
45(2)
Conclusions
47(2)
Four Examples of Grammatical Evolution
49(14)
Introduction
49(1)
Symbolic Regression
49(3)
Results
51(1)
Symbolic Integration
52(3)
Results
52(3)
Santa Fe Ant Trail
55(2)
Results
56(1)
Caching Algorithms
57(5)
Results
60(2)
Conclusions
62(1)
Analysis of Grammatical Evolution
63(16)
Introduction
63(1)
Wrapping Operator
64(3)
Results
64(1)
Invalid Individuals
64(1)
Cumulative Frequency of Success
65(1)
Genome Lengths
65(2)
Discussion
67(1)
Degenerate Genetic Code
67(5)
Results
69(1)
Diversity Measures
70(2)
Discussion
72(1)
Removal of Wrapping and Degeneracy
72(2)
Results
72(2)
Mutation Rates
74(3)
Results
76(1)
Conclusions
77(2)
Crossover in Grammatical Evolution
79(20)
Introduction
79(2)
Homologous Crossover
81(11)
Experimental Approach
81(2)
Results
83(8)
Discussion
91(1)
Headless Chicken
92(6)
Experimental Approach
93(1)
Results
94(1)
Discussion
95(3)
Conclusions
98(1)
Extensions & Applications
99(30)
Translation
99(2)
Alternative Search Strategies
101(1)
Grammar Defined Introns
102(1)
Gauge
103(10)
Problems
105(1)
Onemax
106(1)
Results
107(1)
Mastermind - a deceptive ordering version
108(1)
Results
109(3)
Discussion
112(1)
Conclusions and Future Work
112(1)
Chorus
113(4)
Example Individual
114(2)
Results
116(1)
Financial Prediction
117(4)
Trading Market Indices
117(2)
Experimental Setup & Results
119(2)
Adaptive Logic Programming
121(4)
Logic Programming
121(2)
GE and Logic Programming
123(1)
Backtracking
124(1)
Initialisation
125(1)
Discussion
125(1)
Sensible Initialisation
125(2)
Genetic Programming
127(1)
Conclusions
128(1)
Conclusions & Future Work
129(14)
Summary
129(1)
Future Work
130(13)
Index 143

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