Research Article
Exploring Interaction, Diversity and Efficiency of Biologically Inspired Evolutionary Multiagent Systems
@INPROCEEDINGS{10.4108/icst.bict.2014.257922, author={Sadat Chowdhury and Elizabeth Sklar}, title={Exploring Interaction, Diversity and Efficiency of Biologically Inspired Evolutionary Multiagent Systems}, proceedings={8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ICST}, proceedings_a={BICT}, year={2015}, month={2}, keywords={multiagent systems evolutionary algorithms genetic programming speciation coordination}, doi={10.4108/icst.bict.2014.257922} }- Sadat Chowdhury
Elizabeth Sklar
Year: 2015
Exploring Interaction, Diversity and Efficiency of Biologically Inspired Evolutionary Multiagent Systems
BICT
ACM
DOI: 10.4108/icst.bict.2014.257922
Abstract
This short paper presents work exploring properties of an evolutionary multiagent system assigned to solve sequential task achievement problems in dynamic, real-time, asynchronous environments. Several evolutionary models have been implemented and experiments conducted in a high-performance computing environment in which different interaction mechanisms and population diversity modes are evaluated according to multiple performance metrics. Results are presented that illustrate differences in performance efficiency when different interaction mechanisms, population diversity and evolutionary models are employed.
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