Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
The evolution of evolvability in genetic programming
Advances in genetic programming
Recombination, selection, and the genetic construction of computer programs
Recombination, selection, and the genetic construction of computer programs
Explicitly defined introns and destructive crossover in genetic programming
Advances in genetic programming
A computational architecture based on cellular processing
IPCAT '97 Proceedings of the second international workshop on Information processing in cell and tissues
The Use of Neutral Genotype-Phenotype Mappings for Improved Evolutionary Search
BT Technology Journal
Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Genetic Programming and Evolvable Machines
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Complexity Compression and Evolution
Proceedings of the 6th International Conference on Genetic Algorithms
Petri Net Representations in Metabolic Pathways
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
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
Proceedings of the European Conference on Genetic Programming
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Parallel Distributed Genetic Programming Applied to the Evolution of Natural Language Recognisers
Selected Papers from AISB Workshop on Evolutionary Computing
Code growth, explicitly defined introns, and alternative selection schemes
Evolutionary Computation
Code growth in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Tantrix: A Minute to Learn, 100 (Genetic Algorithm) Generations to Master
Genetic Programming and Evolvable Machines
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Evolving biochemical reaction networks with stochastic attributes
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Positional independence and recombination in cartesian genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
An implicit context representation for evolving image processing filters
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Benefits of employing an implicit context representation on hardware geometry of CGP
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
The Regulatory Network Computational Device
Genetic Programming and Evolvable Machines
Genetic programming with genetic regulatory networks: genetic programming
Proceedings of the 15th annual conference on Genetic and evolutionary computation
GEARNet: grammatical evolution with artificial regulatory networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Evolving a digital multiplier with the pushgp genetic programming system
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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The standard parse tree representation of genetic programming, while a good choice from a generative viewpoint, does not capture the variational demands of evolution. This paper addresses the issue of whether representations in genetic programming might be improved by mimicry of biological behaviors, particularly those thought to be important in the evolution of metabolic pathways, the ‘computational’ structures of the cell. This issue is broached through a presentation of enzyme genetic programming, a form of genetic programming which uses a biomimetic representation. Evaluation upon problems in combinational logic design does not show any significant performance advantage over other approaches, though does demonstrate a number of interesting behaviors including the preclusion of bloat.