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  Computing Single Source Shortest Paths using Single-Objective Fitness Functions

Baswana, S., Biswas, S., Doerr, B., Friedrich, T., Kurur, P. P., & Neumann, F. (2009). Computing Single Source Shortest Paths using Single-Objective Fitness Functions. In T. Jansen, I. Garibay, P. R. Wiegand, & A. S. Wu (Eds.), Proceedings of the 10th International Workshop on Foundations of Genetic Algorithms (pp. 59-66). New York, NY: ACM.

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 Creators:
Baswana, Surender1, Author           
Biswas, Somenath2, Author
Doerr, Benjamin1, Author           
Friedrich, Tobias1, Author           
Kurur, Piyush P.2, Author
Neumann, Frank1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2010-01-252009
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 518329
Other: Local-ID: C1256428004B93B8-55069E36095FFF64C1257559004BB431-BBDFKN09
 Degree: -

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Title: 10th International Workshop on Foundations of Genetic Algorithms
Place of Event: Orlando, FL, USA
Start-/End Date: 2009-02-10 - 2009-02-10

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Title: Proceedings of the 10th International Workshop on Foundations of Genetic Algorithms
  Abbreviation : FOGA 2009
Source Genre: Proceedings
 Creator(s):
Jansen, Thomas1, Editor
Garibay, Ivan1, Editor
Wiegand, Paul R.1, Editor
Wu, Annie S.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 59 - 66 Identifier: ISBN: 978-1-60558-414-0