Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
A compiling genetic programming system that directly manipulates the machine code
Advances in genetic programming
Automatic generation of programs for crawling and walking
Advances in genetic programming
Two self-adaptive crossover operators for genetic programming
Advances in genetic programming
Foundations of genetic programming
Foundations of genetic programming
Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Hybrid Neural Systems, revised papers from a workshop
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Genetic Programming and Evolvable Machines
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
Meta-grammar constant creation with grammatical evolution by grammatical evolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Improving symbolic regression with interval arithmetic and linear scaling
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Artificial immune system programming for symbolic regression
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
On the behavioral diversity of random programs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Evolving similarity functions for code plagiarism detection
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Grammar-based Genetic Programming: a survey
Genetic Programming and Evolvable Machines
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In this paper, we investigate the use of canonical form functions to evolve human-interpretable expressions for symbolic regression problems. The approach is simple to apply, being mostly a grammar that fits into any grammar-based Genetic Programming (GP) system. We demonstrate the approach, dubbed CAFFEINE, in producing highly predictive, interpretable expressions for six circuit modeling problems. We investigate variations of CAFFEINE, including Grammatical Evolution vs. Whigham-style, grammar-defined introns, and smooth uniform crossover with smooth point mutation (SUX/SM). The fastest CAFFEINE variant, SUX/SM, is only moderately slower than non-grammatical GP - a reasonable price to pay when the user wants immediately interpretable results.