- author = "Alan Piszcz and Terence Soule",
- title = "A Survey of Mutation Techniques in Genetic Programming",
- booktitle = "{GECCO 2006:} Proceedings of the 8th annual conference on Genetic and evolutionary computation",
- year = "2006",
- editor = "Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos {Coello Coello} and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens",
- volume = "1",
- pages = "951--952",
- month = "8-12 " # jul,
- address = "Seattle, Washington, USA",
- publisher = "ACM Press",
- publisher_address = "New York, NY, 10286-1405, USA",
- organisation = "ACM SIGEVO (formerly ISGEC)",
- keywords = "genetic algorithms, genetic programming, mutation, Automatic Programming, program synthesis: Poster",
- ISBN = "1-59593-186-4",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p951.pdf",
-
DOI = "
10.1145/1143997.1144165",
- size = "2 pages",
- abstract = "The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming community, researchers' view of mutation's effectiveness spans the range from an ineffective or marginal operator, to a neutral operator, to a highly effective operator that evolves solutions more effectively than genetic programming with crossover alone. Mutation implementation and associated parameters are often under reported in genetic programming research and typically lack context that justifies the technique and parameter selection. In part, reporting variance stems from the adaptation of mutation developed by the genetic algorithm community, and the creation of new mutation techniques in genetic programming. This survey describes the controversial operator in genetic programming applications, mutation selection operators, mutation techniques and offers an organization of mutation characteristics. We suggest methodologies to improve reporting of mutation parameters and related individual selection methods.",
-
notes = "GECCO-2006 A joint meeting of the fifteenth
international conference on genetic algorithms
(ICGA-2006) and the eleventh annual genetic programming
conference (GP-2006).
ACM Order Number 910060",
