Crossover in Grammatical Evolution
Genetic Programming and Evolvable Machines
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
An analysis of the behaviour of mutation in grammatical evolution
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
A local search interface for interactive evolutionary architectural design
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Towards adaptive mutation in grammatical evolution
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
GEARNet: grammatical evolution with artificial regulatory networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A methodology for user directed search in evolutionary design
Genetic Programming and Evolvable Machines
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This study focuses on mutation in Grammatical Evolution and divides mutation events into those that are structural in nature and those that are nodal. A structural event being one that alters the length of the phenotype. A nodal event simply alters the value at any node of a derivation tree. We analyse and compare the effect of integer, nodal and structural mutations on fitness for randomly generated individuals before continuing this analysis to their relative problem-solving performance over full runs. The study highlights the importance of understanding how the search operators of an evolutionary algorithm behave. The result in this case being a form of mutation for Grammatical Evolution, node mutation, with a better property of locality than standard integer-based mutation, which does not discriminate between structural and nodal contexts.