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سازگاری مؤثر (Persian Wikipedia)

Analysis of information sources in references of the Wikipedia article "سازگاری مؤثر" in Persian language version.

refsWebsite
Global rank Persian rank
7doi.org
2nd place
2nd place
6nih.gov
4th place
5th place
1arxiv.org
69th place
253rd place
1qucosa.de
low place
low place
1harvard.edu
18th place
50th place

arxiv.org

  • Stephens CR (1999). "Effective Fitness Landscapes for Evolutionary Systems". Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406): 703–714. arXiv:nlin/0006050. doi:10.1109/CEC.1999.782002. ISBN 0-7803-5536-9.

doi.org

  • Stephens CR (1999). "Effective Fitness Landscapes for Evolutionary Systems". Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406): 703–714. arXiv:nlin/0006050. doi:10.1109/CEC.1999.782002. ISBN 0-7803-5536-9.
  • von Bronk B, Schaffer SA, Götz A, Opitz M (May 2017). "Effects of stochasticity and division of labor in toxin production on two-strain bacterial competition in Escherichia coli". PLOS Biology. 15 (5): e2001457. doi:10.1371/journal.pbio.2001457. PMC 5411026. PMID 28459803.
  • Stephens CR, Vargas JM (2000). "Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism". Genetic Programming and Evolvable Machines. 1 (4): 363–378. doi:10.1023/A:1010017207202.
  • Stadler PF, Stephens CR (2003). "Landscapes and Effective Fitness". Comments on Theoretical Biology. Informa UK Limited. 8 (4–5): 389–431. doi:10.1080/08948550302439.
  • Henry A, Hemery M, François P (June 2018). "φ-evo: A program to evolve phenotypic models of biological networks". PLOS Computational Biology. 14 (6): e1006244. Bibcode:2018PLSCB..14E6244H. doi:10.1371/journal.pcbi.1006244. PMC 6013240. PMID 29889886.
  • Lehman J, Stanley KO (2011). "Abandoning objectives: evolution through the search for novelty alone". Evolutionary Computation. MIT Press - Journals. 19 (2): 189–223. doi:10.1162/evco_a_00025. PMID 20868264.
  • Lehman J, Stanley KO (2010-09-24). "Abandoning objectives: evolution through the search for novelty alone". Evolutionary Computation. 19 (2): 189–223. doi:10.1162/EVCO_a_00025. PMID 20868264.

harvard.edu

ui.adsabs.harvard.edu

nih.gov

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

qucosa.de

ul.qucosa.de