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
Discovery of subroutines in genetic programming
Advances in genetic programming
Simultaneous Discovery of Reusable Detectors and Subroutines Using Genetic Programming
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic Programming And Multi-agent Layered Learning By Reinforcements
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Evolving Modules in Genetic Programming by Subtree Encapsulation
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
An Analysis of Koza's Computational Effort Statistic for Genetic Programming
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Investigating the performance of module acquisition in cartesian genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Layered learning in boolean GP problems
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
A developmental method for growing graphs and circuits
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
The Generalisation Ability of a Selection Architecture for Genetic Programming
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Self-adaptive focusing of evolutionary effort in hierarchical genetic programming
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Unsupervised problem decomposition using genetic programming
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
A new, node-focused model for genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
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Hierarchical decomposition and reuse techniques are seen as making a vital contribution to the scalability of genetic programming systems. Existing techniques either try to identify and encapsulate useful code fragments as they evolve, or else they rely on intelligent prior deconstruction of the problem at hand. The alternative we propose is to base decomposition on a partitioning of the input test cases into subsets or ranges. To effect this, the program architecture of individuals is such that each subset is dealt with in an independently evolved branch, rooted at a selection node handling branch activation. Experimentation reveals that performance of systems employing this architecture is significantly better than that of more conventional systems.