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Conference Paper: Modelling the migration and maturation of dendritic cells for automatic optimization of complex engineering problems

TitleModelling the migration and maturation of dendritic cells for automatic optimization of complex engineering problems
Authors
Lee, NMYLau, HYK
Issue Date2013
PublisherThe MIT Press.
Citation
The 12th European Conference on Artificial Life (ECAL 2013), Taormina, Italy, 2-6 September 2013. In Advances in Artificial Life, ECAL 2013, 2013, p. 899-900 How to Cite?
DOI: http://dx.doi.org/10.7551/978-0-262-31709-2-ch134
AbstractThe metaphor of Migration and Maturation of Dendritic Cells (DCs), in particular, the induced signal pathways to the change of the immunogenic functions of DCs (Martin-Fontecha, Lanzavecchis & Sallusto, 2009) provides important features for the development of the proposed DC-inspired optimization algorithm. Specifically, the quantified capability and behavioral change of DCs (Callard, George & Stark, 1999) of the classical DC models (Caetano Reis, 2006), namely, (i) ontogeny of DC, (ii) the selectively up-regulation of markers (of DC subsets), (iii) the level of threat (of the antigen), (iv) production of chemokine and cytokine, (v) transcription factors, and (vi) the effector functions of DCs underpin a highly autonomous control mechanism for the evolution of the optimal solution(s).
DescriptionArtificial Immune Systems - ICARIS
Persistent Identifierhttp://hdl.handle.net/10722/189934
ISBN
978-0-262-31709-2

 

DC FieldValueLanguage
dc.contributor.authorLee, NMYen_US
dc.contributor.authorLau, HYKen_US
dc.date.accessioned2013-09-17T15:03:08Z-
dc.date.available2013-09-17T15:03:08Z-
dc.date.issued2013en_US
dc.identifier.citationThe 12th European Conference on Artificial Life (ECAL 2013), Taormina, Italy, 2-6 September 2013. In Advances in Artificial Life, ECAL 2013, 2013, p. 899-900en_US
dc.identifier.isbn978-0-262-31709-2-
dc.identifier.urihttp://hdl.handle.net/10722/189934-
dc.descriptionArtificial Immune Systems - ICARIS-
dc.description.abstractThe metaphor of Migration and Maturation of Dendritic Cells (DCs), in particular, the induced signal pathways to the change of the immunogenic functions of DCs (Martin-Fontecha, Lanzavecchis & Sallusto, 2009) provides important features for the development of the proposed DC-inspired optimization algorithm. Specifically, the quantified capability and behavioral change of DCs (Callard, George & Stark, 1999) of the classical DC models (Caetano Reis, 2006), namely, (i) ontogeny of DC, (ii) the selectively up-regulation of markers (of DC subsets), (iii) the level of threat (of the antigen), (iv) production of chemokine and cytokine, (v) transcription factors, and (vi) the effector functions of DCs underpin a highly autonomous control mechanism for the evolution of the optimal solution(s).-
dc.languageengen_US
dc.publisherThe MIT Press.-
dc.relation.ispartofAdvances in Artificial Life, ECAL 2013: proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systemen_US
dc.titleModelling the migration and maturation of dendritic cells for automatic optimization of complex engineering problemsen_US
dc.typeConference_Paperen_US
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hken_US
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.7551/978-0-262-31709-2-ch134-
dc.identifier.hkuros222517en_US
dc.identifier.spage899-
dc.identifier.epage900-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 131118-

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