- author = "Lu Yu and Jin Zhou and Fengming Ye and Shingo Mabu and Kaoru Shimada and Kotaro Hirasawa and Sandor Markon",
- title = "Double-deck Elevator System using Genetic Network Programming with Genetic Operators based on Pheromone Information",
- year = "2008",
- editor = "Marc Ebner and Mike Cattolico and Jano {van Hemert} and Steven Gustafson and Laurence D. Merkle and Frank W. Moore and Clare Bates Congdon and Christopher D. Clack and Frank W. Moore and William Rand and Sevan G. Ficici and Rick Riolo and Jaume Bacardit and Ester Bernado-Mansilla and Martin V. Butz and Stephen L. Smith and Stefano Cagnoni and Mark Hauschild and Martin Pelikan and Kumara Sastry",
- isbn13 = "978-1-60558-131-6",
- booktitle = "GECCO-2008 Late-Breaking Papers",
- pages = "2239--2244",
- address = "Atlanta, GA, USA",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2008/docs/p2239.pdf",
-
DOI = "
10.1145/1388969.1389052",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "12-16 " # jul,
- keywords = "genetic algorithms, genetic programming, ant colony optimisation, elevator group supervisory control system, genetic network programming, genetic operators, hybrid algorithms",
- abstract = "Genetic Network Programming (GNP), one of the extended evolutionary algorithms was proposed, whose gene is constructed by the directed graph. GNP is distinguished from other evolutionary techniques in terms of its compact structure and implicit memory function. GNP can perform a global searching, but it lacks of the exploitation ability. Since the behaviour of GNP is characterized by the balance between exploitation and exploration in the search space, we proposed a hybrid algorithm in this paper that combines GNP with Ant Colony Optimization (ACO). The genetic operators are operated using the pheromone information in some special generations. We applied the proposed hybrid algorithm to a complicated real world problem, that is , Elevator Group Supervisory Control System (EGSCS). The simulation results showed the effectiveness of the proposed algorithm.",
-
notes = "Distributed on CD-ROM at GECCO-2008
ACM Order Number 910081. Also known as \cite{1389052}",
