DocumentCode
2780652
Title
On run time libraries and hierarchical symbiosis
Author
Kelly, Stephen ; Lichodzijewski, Peter ; Heywood, Malcolm I.
Author_Institution
Dalhousie Univ., Halifax, NS, Canada
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
8
Abstract
Run time libraries (RTL) in genetic programming (GP) represent a scenario in which individuals evolved under an earlier independent evolutionary run can be potentially incorporated into a following GP run. To date, schemes for exploiting the RTL metaphor have emphasized syntactic over behavioural approaches. Thus, instructions are added to the later run such that the previous code can be explicitly indexed. In this work we demonstrate how the RTL concept is naturally supported by adopting a symbiotic framework for coevolution. Under the Pinball reinforcement learning task, we demonstrate how the initial RTL can be coevolved within a simpler formulation of the task and then used as the basis for providing solutions to a more difficult target task under the same domain. The resulting solutions are stronger than an RTL as coevolved against the target task alone or symbiosis as evolved without support for RTL.
Keywords
genetic algorithms; learning (artificial intelligence); RTL; genetic programming; hierarchical symbiosis; pinball reinforcement learning task; run time libraries; Context; Function approximation; Indexes; Libraries; Registers; Symbiosis; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4673-1510-4
Electronic_ISBN
978-1-4673-1508-1
Type
conf
DOI
10.1109/CEC.2012.6252966
Filename
6252966
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