Soft computing approaches to production line design
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @InProceedings{Baykasoglu:2005:ICRM,
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author = "Adil Baykasoglu",
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title = "Soft computing approaches to production line design",
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booktitle = "ICRM'2005 3rd International Conference on Responsive
Manufacturing",
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year = "2005",
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editor = "Nabil Gindy",
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pages = "273--279",
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address = "Guangzhou, China",
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month = "12-14 " # sep,
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organisation = "University of Nottingham, Guangdong University of
Technology",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming, Manufacturing system design,
soft computing",
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URL = "http://delta.cs.cinvestav.mx/~ccoello/EMOO/baykasoglu05a.pdf.gz",
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size = "5 pages",
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abstract = "Gene Expression Programming (GEP) is used to develop a
meta-model for the multiobjective design of a
hypothetical production line. The developed meta-model
is used to optimize production line design with
Multiple Objective Tabu Search algorithm (MOTS). It is
found out that GEP and MOTS can be effectively used to
solve production line design problems which are known
as complex design problems.",
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notes = "http://www.icrm2005.org/ broken Nov 2005
",
- }
Genetic Programming entries for
Adil Baykasoglu
Citations