- author = "Leonardo Vanneschi and Yuri Pirola and Philippe Collard",
- title = "A Quantitative Study of Neutrality in {GP Boolean} Landscapes",
- 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",
- ISBN = "1-59593-186-4",
- pages = "895--902",
- address = "Seattle, Washington, USA",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2006/docs/p895.pdf",
-
URL = "
https://hal.archives-ouvertes.fr/hal-00164691",
-
DOI = "
doi:10.1145/1143997.1144152",
- publisher = "ACM Press",
- publisher_address = "New York, NY, 10286-1405, USA",
- month = "8-12 " # jul,
- organisation = "ACM SIGEVO (formerly ISGEC)",
- keywords = "genetic algorithms, genetic programming, complexity measures, even parity, fitness landscapes, neutrality, performance measures, Even Parity",
- size = "8 pages",
- abstract = "Neutrality of some Boolean parity fitness landscapes is investigated in this paper. Compared with some well known contributions on the same issue, we define some new measures that help characterizing neutral landscapes, we use a new sampling methodology, which captures some features that are disregarded by uniform random sampling, and we introduce new genetic operators to define the neighborhood of tree structures. We compare the fitness landscape induced by two different sets of functional operators (Nand) and (Xor Not). The different characteristics of the neutral networks seem to justify the different difficulties of these landscapes for genetic programming.",
-
notes = "Also known as \cite{collard:hal-00164691} 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",
