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Mathematical and Computer Modelling
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Mathematical and Computer Modelling
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Manufacturing cell formation using similarity coefficients and a parallel genetic TSP algorithm: Formulation and comparison

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 1995Embargo end date: 25 Jun 2008 English Publisher:Elsevier BVJournal:Mathematical and Computer Modelling, volume 21, pages 61-73 (issn: 0895-7177, Copyright policy )
Authors: Balakrishnan, Jaydeep; Jog, Prasanna D.;

doi: 10.1016/0895-7177(95)00092-g , 10.11575/prism/34189

handle: 1880/46672

Manufacturing cell formation using similarity coefficients and a parallel genetic TSP algorithm: Formulation and comparison

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Keywords

Large-scale problems in mathematical programming, manufacturing cells, similarity coefficients, Learning and adaptive systems in artificial intelligence, travelling salesman, group technology, Parallel numerical computation, Programming involving graphs or networks, Computer Science Applications, Applications of mathematical programming, Modelling and Simulation, parallel genetic algorithms, component routings, Production models

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Average
Green
hybrid