An Evolutionary Algorithm for the Input-Output Block Assignment Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{chan:2004:eurogp,

• author = "Kit Yan Chan and Terence C. Fogarty",
• title = "An Evolutionary Algorithm for the Input-Output Block Assignment Problem",
• 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 = "250--258",
• address = "Coimbra, Portugal",
• publisher_address = "Berlin",
• month = "5-7 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-21346-5",
• DOI = "doi:10.1007/978-3-540-24650-3_23",
• abstract = "A procedure for system decomposition is developed for decentralised multi-variable systems. Optimal input-output pairing techniques are used to rearrange a large multi variable system into a structure that is closer to the block-diagonal decentralised form. The problem is transformed into a block assignment problem. An evolutionary algorithm is developed to solve this hard IP problem. The result shows that the proposed algorithm is simple to implement and efficient to find the reasonable solution.",
• notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in conjunction with EvoCOP2004 and EvoWorkshops2004",

}

Genetic Programming entries for Kit Yan Chan Terence C Fogarty

Citations