Towards development of a hybrid discrete graph-based ant colony optimization algorithm with an antibody-based immune programming algorithm

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DOIResolve DOI: http://doi.org/10.4224/8913779
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TypeTechnical Report
Series titleERB; no. 1126
Physical description5 p.
SubjectOptimization; Approximation; Stigmergy; Emergence
AbstractAn attempt is made to improve swarm-based optimization algorithms (SBOA) through an investigation and development in C of the following: i) Random Algorithm, ii) Immune Programming Algorithm (IP), iii) Ant Colony Optimization Algorithm (ACO), and iv) Hybridized ACO and IP. Preliminary experiments are performed and reported for both integer (Z) stack-based and real (R) model-based problem representations.
Publication date
PublisherNational Research Council Canada
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada; Ocean, Coastal and River Engineering
Peer reviewedNo
NRC number48119
NPARC number8913779
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Record identifier8d429dfe-6b98-4dcd-88e3-384ac5e4eede
Record created2009-04-22
Record modified2016-09-29
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