Genetic Programming Applied to Mixed Integer Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{kostikas:2004:eurogp,

• author = "Konstantinos Kostikas and Charalambos Fragakis",
• title = "Genetic Programming Applied to Mixed Integer Programming",
• booktitle = "Genetic Programming 7th European Conference, EuroGP 2004, Proceedings",
• year = "2004",
• editor = "Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule",
• volume = "3003",
• series = "LNCS",
• pages = "113--124",
• address = "Coimbra, Portugal",
• publisher_address = "Berlin",
• month = "5-7 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-21346-5",
• URL = "http://users.auth.gr/~kostikas/fkkeurogp.pdf",
• DOI = "doi:10.1007/978-3-540-24650-3_11",
• abstract = "We present the application of Genetic Programming (GP) in Branch and Bound (B&B) based Mixed Integer Linear Programming (MIP). The hybrid architecture introduced employs GP as a node selection expression generator: a GP run, embedded into the B&B process, exploits the characteristics of the particular MIP problem being solved, evolving a problem-specific node selection method. The evolved method replaces the default one for the rest of the B&B. The hybrid approach outperforms depth-first and breadth-first search, and compares well with the advanced Best Projection method.",
• notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in conjunction with EvoCOP2004 and EvoWorkshops2004",

}

Genetic Programming entries for Konstantinos Kostikas Charalambos Fragakis

Citations