An Evolutionary Algorithm for the Input-Output Block Assignment Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{chan:2004:eurogp,
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author = "Kit Yan Chan and Terence C. Fogarty",
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title = "An Evolutionary Algorithm for the Input-Output Block
Assignment Problem",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "250--258",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-21346-5",
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DOI = "doi:10.1007/978-3-540-24650-3_23",
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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.",
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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