- author = "Fengming Ye and Shingo Mabu and Kotaro Hirasawa",
- title = "A memory scheme for genetic network programming with adaptive mutation",
- booktitle = "GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation",
- year = "2011",
- editor = "Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger",
- isbn13 = "978-1-4503-0690-4",
- keywords = "genetic algorithms, genetic programming, genetic network programming, Genetics based machine learning: Poster",
- pages = "179--180",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Dublin, Ireland",
-
DOI = "
doi:10.1145/2001858.2001958",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "Recently, a new approach named Genetic Network Programming (GNP) has been proposed for especially solving complex problems in dynamic environments. In this paper, we propose a memory scheme for GNP to enhance the performance of GNP and use SARSA learning based adaptive mutation mechanism to guide the GNP evolution process.",
-
notes = "Also known as \cite{2001958} Distributed on CD-ROM at
GECCO-2011.
ACM Order Number 910112.",
