Genetic Programming Theory and Practice VI

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Rick Riolo, Terence Soule, Bill Worzel
Springer Science & Business Media, Nov 1, 2008 - Computers - 274 pages

Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

These contributions address several significant interdependent themes which emerged from this year’s workshop, including: (1) Making efficient and effective use of test data. (2) Sustaining the long-term evolvability of our GP systems. (3) Exploiting discovered subsolutions for reuse. (4) Increasing the role of a Domain Expert.

 

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Contents

GENETIC PROGRAMMING THEORY AND PRACTICE
1
A POPULATION BASED STUDY OF EVOLUTIONARY DYNAMICS IN GENETIC PROGRAMMING
19
AN APPLICATION OF INFORMATION THEORETIC SELECTION TO EVOLUTION OF MODELS WITH CONTINUOUSVALUED INPUTS
29
PARETO COOPERATIVECOMPETITIVE GENETIC PROGRAMMING A CLASSIFICATION BENCHMARKING STUDY
43
GENETIC PROGRAMMING WITH HISTORICALLY ASSESSED HARDNESS
61
CROSSOVER AND SAMPLING BIASES ON NEARLY UNIFORM LANDSCAPES
75
ANALYSIS OF THE EFFECTS OF ELITISM ON BLOAT IN LINEAR AND TREEBASED GENETIC PROGRAMMING
91
AUTOMATED EXTRACTION OF EXPERT DOMAIN KNOWLEDGE FROM GENETIC PROGRAMMING SYNTHESIS RESULTS
111
EXPLOITING TRUSTABLE MODELS VIA PARETO GP FOR TARGETED DATA COLLECTION
144
EVOLVING EFFECTIVE INCREMENTAL SOLVERS FOR SAT WITH A HYPERHEURISTIC FRAMEWORK BASED ON GENETIC PROGRAM...
163
CONSTRAINED GENETIC PROGRAMMING TO MINIMIZE OVERFITTING IN STOCK SELECTION
179
COEVOLVING TRADING STRATEGIES TO ANALYZE BOUNDED RATIONALITY IN DOUBLE AUCTION MARKETS
195
PROFILING SYMBOLIC REGRESSIONCLASSIFICATION
215
ACCELERATING GENETIC PROGRAMMING THROUGH GRAPHICS PROCESSING UNITS
229
GENETIC PROGRAMMING FOR INCENTIVEBASED DESIGN WITHIN A CULTURAL ALGORITHMS FRAMEWORK
248
Index
268

DOES COMPLEXITY MATTER? ARTIFICIAL EVOLUTION COMPUTATIONAL EVOLUTION AND THE GENETIC ANALYSIS OF EPISTASI...
125

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