- author = "Michael F. Korns",
- title = "Mutation and crossover with abstract expression grammars",
- booktitle = "GECCO-2009 Symbolic regression and modeling workshop (SRM)",
- year = "2009",
- editor = "Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore",
- pages = "2219--2224",
- address = "Montreal",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "8-12 " # jul,
- organisation = "SigEvo",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-60558-325-9",
- bibsource = "DBLP, http://dblp.uni-trier.de",
-
DOI = "
doi:10.1145/1570256.1570308",
- abstract = "Simple enhancements to the standard population operators of mutation and crossover, using Abstract Expression Grammars, are investigated. In previous works, Abstract Expression Grammars have been used to integrate Genetic Algorithms, Genetic Programming, Swarm Intelligence, and Differential Evolution, into a seamlessly unified approach to symbolic regression. In this work, the potential for Abstract Expression Grammars to have a direct impact on the classic Genetic Programming mutation and crossover operators is demonstrated. The features of abstract expression grammars are explored, details of abstract mutation and crossover are provided, and the beneficial effects of abstract mutation and crossover are tested with several published nonlinear regression problems.",
-
notes = "Distributed on CD-ROM at GECCO-2009.
ACM Order Number 910092.",
