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Constraints on adaptation: explaining deviation from optimal sex ratio using artificial neural networks.

Abstract:

Determining processes constraining adaptation is a major challenge facing evolutionary biology, and sex allocation has proved a useful model system for exploring different constraints. We investigate the evolution of suboptimal sex allocation in a solitary parasitoid wasp system by modelling information acquisition and processing using artificial neural networks (ANNs) evolving according to a genetic algorithm. Theory predicts an instantaneous switch from the production of male to female offs...

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Publication status:
Published

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Journal:
Journal of evolutionary biology More from this journal
Volume:
23
Issue:
8
Pages:
1708-1719
Publication date:
2010-08-01
DOI:
EISSN:
1420-9101
ISSN:
1010-061X
Language:
English
Keywords:
Pubs id:
pubs:211103
UUID:
uuid:63d0db9e-cd11-4da2-b861-4fc6163648dd
Local pid:
pubs:211103
Source identifiers:
211103
Deposit date:
2012-12-19

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