Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Algorithms in C++
The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
Evolving programmers: the co-evolution of intelligent recombination operators
Advances in genetic programming
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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
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
High-performance, parallel, stack-based genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Multi-chromosomal genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings
Genetic Programming and Evolvable Machines
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Investigation of the performance of different mapping orders for GE on the max problem
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
An analysis of genotype-phenotype maps in grammatical evolution
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
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In this article we introduce a general framework for constructing an adaptive genotype-to-phenotype mapping, and apply it to developmental genetic programming. In this preliminary investigation, we run a series of comparative experiments on a simple test problem. Our results show that the adaptive algorithm is able to outperform its non-adaptive counterpart.