Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Evolving recursive programs for tree search
Advances in genetic programming
Evolving recursive functions for the even-parity problem using genetic programming
Advances in genetic programming
Genetic Programming and Evolvable Machines
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
Polymorphism and Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
An Adaptive Mapping for Developmental Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Grammatical bias for evolutionary learning
Grammatical bias for evolutionary learning
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Evolving Recursive Programs by Using Adaptive Grammar Based Genetic Programming
Genetic Programming and Evolvable Machines
Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings
Genetic Programming and Evolvable Machines
Genetic programming using genotype-phenotype mapping from linear genomes into linear phenotypes
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A new class of function sets for solving sequence problems
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Evolving high-level imperative program trees with strongly formed genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
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The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is used to learn recursive solutions given a function set consisting of general (not implicitly recursive) machine-language instructions. PAM DGP using redundant encodings to model the evolution of the biological genetic code is found to more efficiently learn 2nd and 3rd order recursive Fibonacci functions than related developmental systems and traditional linear GP. PAM DGP using redundant encoding is also demonstrated to produce the semantically highest quality solutions for all three recursive functions considered (Factorial, 2nd and 3rd order Fibonacci). PAM DGP is then shown to have produced such solutions by evolving redundant mappings to select and emphasize appropriate subsets of the function set useful for producing the naturally recursive solutions.