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  Lessons From the Black-Box: Fast Crossover-Based Genetic Algorithms

Doerr, B., Doerr, C., & Ebel, F. (2013). Lessons From the Black-Box: Fast Crossover-Based Genetic Algorithms. In C. Blum, & E. Alba (Eds.), GECCO'13 (pp. 781-788). New York, NY: ACM. doi:10.1145/2463372.2463480.

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 Creators:
Doerr, Benjamin1, Author           
Doerr, Carola1, Author           
Ebel, Franziska2, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2Universität des Saarlandes, ou_persistent22              

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Language(s): eng - English
 Dates: 2013-06-072013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: DoerrDE13
DOI: 10.1145/2463372.2463480
Other: Local-ID: CD2505F4E52101DBC1257C6000716FB1-DoerrDE13
 Degree: -

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Title: 15th Annual Conference on Genetic and Evolutionary Computation
Place of Event: Amsterdam, The Netherlands
Start-/End Date: 2013-07-06 - 2013-07-10

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Title: GECCO'13
  Abbreviation : GECCO 2013
  Subtitle : Proceedings of the 2013 Genetic and Evolutionary Computation Conference
Source Genre: Proceedings
 Creator(s):
Blum, Christian1, Editor
Alba, Enrique1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 781 - 788 Identifier: ISBN: 978-1-4503-1963-8