Evolving programmers: the co-evolution of intelligent recombination operators
Advances in genetic programming
Two self-adaptive crossover operators for genetic programming
Advances in genetic programming
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Foundations of genetic programming
Foundations of genetic programming
Genetic Programming and Autoconstructive Evolution with the Push Programming Language
Genetic Programming and Evolvable Machines
Proceedings of the Second European Workshop on Genetic Programming
Adaption of Operator Probabilities in Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Journal of Functional Programming
The Push3 execution stack and the evolution of control
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Adapting operator settings in genetic algorithms
Evolutionary Computation
Extreme Value Based Adaptive Operator Selection
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
Tag-based modules in genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
The K landscapes: a tunably difficult benchmark for genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Evolving bin packing heuristics with genetic programming
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
The tree-string problem: an artificial domain for structure and content search
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Achieving COSMOS: a metric for determining when to give up and when to reach for the stars
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Is the meta-EA a viable optimization method?
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Expressive genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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While most hyper-heuristics search for a heuristic that is later used to solve classes of problems, autoconstructive evolution represents an alternative which simultaneously searches both heuristic and solution space. In this study we contrast autoconstructive evolution, in which intergenerational variation is accomplished by the evolving programs themselves, with a genetic programming system, PushGP, to understand the dynamics of this hybrid approach. A problem size scaling analysis of these genetic programming techniques is performed on structural problems. These problems involve fewer domain-specific features than most model problems while maintaining core features representative of program search. We use two such problems, Order and Majority, to study autoconstructive evolution in the Push programming language.