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  Ants Easily Solve Stochastic Shortest Path Problems

Doerr, B., Hota, A., & Kötzing, T. (2012). Ants Easily Solve Stochastic Shortest Path Problems. In T. Soule, & J. H. Moore (Eds.), GECCO'12 (pp. 17-24). New York, NY: ACM.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-BC75-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0023-C032-A
Genre: Conference Paper

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 Creators:
Doerr, Benjamin1, Author              
Hota, Ashish2, Author
Kötzing, Timo1, Author              
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, escidoc:24019              
2External Organizations, escidoc:persistent22              

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Language(s): eng - English
 Dates: 2012
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1145/2330163.2330167
BibTex Citekey: DoerrHK2012GECCO
Other: Local-ID: EFF24854E39E0ECFC1257AC6004CEB29-DoerrHK2012GECCO
 Degree: -

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Title: Fourteenth International Conference on Genetic and Evolutionary Computation
Place of Event: Philadelphia, PA
Start-/End Date: 2012-07-07 - 2012-07-12

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Title: GECCO'12
  Abbreviation : GECCO 2012
  Subtitle : Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation
Source Genre: Proceedings
 Creator(s):
Soule, Terence1, Editor
Moore, Jason H.1, Editor
Affiliations:
1 External Organizations, escidoc:persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 17 - 24 Identifier: ISBN: 978-1-4503-1177-9