Output details
11 - Computer Science and Informatics
University of York
Article title
Constraints on adaptation : Explaining deviation from optimal sex ratio using artificial neural networks
Type
D - Journal article
Title of journal
JOURNAL OF EVOLUTIONARY BIOLOGY
Article number
-
Volume number
23
Issue number
8
First page of article
1708
ISSN of journal
1010-061X
Year of publication
2010
Number of additional authors
5
Additional information
<24>The Computer Science contribution of this paper is in the application of established techniques (neural networks, evolutionary algorithms) to generate a model that explains observed behaviour more accurately than other mathematical models. The importance of constraints in development of artificial neural network models is demonstrated. The approach was taken up by Bugler M, Rempoulakis P, Shacham R, Keasar T, Thuijsman F (2013) Sex Allocation in a Polyembryonic Parasitoid with Female Soldiers: An Evolutionary Simulation and an Experimental Test. PLoS ONE 8(6): e64780. doi:10.1371/journal.pone.0064780
Interdisciplinary
-
Cross-referral requested
-
Research group
E - Advanced Computer Architectures
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
