Graph-Based Algorithms for Boolean Function Manipulation
IEEE Transactions on Computers
The evolution of evolvability in genetic programming
Advances in genetic programming
Improving the Variable Ordering of OBDDs Is NP-Complete
IEEE Transactions on Computers
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
On the Existence of Polynomial Time Approximation Schemes for OBDD Minimization (Extended Abstract)
STACS '98 Proceedings of the 15th Annual Symposium on Theoretical Aspects of Computer Science
IEEE Transactions on Computers
Modularity in genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Evolving binary decision diagrams with emergent variable orderings
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
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This work postulates a mechanism by which random genotypic variation is directed towards favourable phenotypic variation. Evolvability is a poorly understood concept at present: it is unclear precisely how the genotype-phenotype map aligns random genotypic mutation with favourable phenotypic variation. By static analysis of the distribution of the genotypic representation of functionality, an emergent bias in the representation of the adapted and maladapted is shown. This bias is facilitated by a form of reuse modularity, and it serves to direct phenotypic variation to where there is selective opportunity.