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Conference Paper: AtcPortal - A generic and extensible distributed agent-based portal for analytical target cascading in optimal design of complex
Title | AtcPortal - A generic and extensible distributed agent-based portal for analytical target cascading in optimal design of complex |
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Authors | |
Keywords | Analytical Target Cascading Hierarchical System Modeling Target Optimization Web Portal Web Services Xml |
Issue Date | 2004 |
Citation | Advances In E-Engineering And Digital Enterprise Technology - I. Proceedings Of The Fourth International Conference On E-Engineering And Digital Enterprise Technology, 2004, p. 43-57 How to Cite? |
Abstract | Analytical Target Cascading (ATC) has emerged as an integrated approach and methodology for optimal design of complex hierarchical systems with good convergence. It facilitates collaborative design problem solving and enables distributed computing to extend both the capability and capacity. ATC is very powerful yet requiring comprehensive understanding and efforts in setting up specific projects. This paper presents a generic and extensible information infrastructure called atcPortal in the form of a web portal where the ATC analyst defines the ATC problem using a special-purpose XML-based language called atcXML, conducts the ATC analysis, and obtains the analytical results. atcPortal not only reduces the overheads for the analyst to set up the projects on the side of practical applications, but also allows the researchers to experiment and extend the ATC methods under different system structures and/or different ATC strategies. |
Persistent Identifier | http://hdl.handle.net/10722/158814 |
References |
DC Field | Value | Language |
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dc.contributor.author | Huang, GQ | en_US |
dc.date.accessioned | 2012-08-08T09:03:24Z | - |
dc.date.available | 2012-08-08T09:03:24Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Advances In E-Engineering And Digital Enterprise Technology - I. Proceedings Of The Fourth International Conference On E-Engineering And Digital Enterprise Technology, 2004, p. 43-57 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158814 | - |
dc.description.abstract | Analytical Target Cascading (ATC) has emerged as an integrated approach and methodology for optimal design of complex hierarchical systems with good convergence. It facilitates collaborative design problem solving and enables distributed computing to extend both the capability and capacity. ATC is very powerful yet requiring comprehensive understanding and efforts in setting up specific projects. This paper presents a generic and extensible information infrastructure called atcPortal in the form of a web portal where the ATC analyst defines the ATC problem using a special-purpose XML-based language called atcXML, conducts the ATC analysis, and obtains the analytical results. atcPortal not only reduces the overheads for the analyst to set up the projects on the side of practical applications, but also allows the researchers to experiment and extend the ATC methods under different system structures and/or different ATC strategies. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Advances in e-Engineering and Digital Enterprise Technology - I. Proceedings of the Fourth International Conference on e-Engineering and Digital Enterprise Technology | en_US |
dc.subject | Analytical Target Cascading | en_US |
dc.subject | Hierarchical System Modeling | en_US |
dc.subject | Target Optimization | en_US |
dc.subject | Web Portal | en_US |
dc.subject | Web Services | en_US |
dc.subject | Xml | en_US |
dc.title | AtcPortal - A generic and extensible distributed agent-based portal for analytical target cascading in optimal design of complex | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Huang, GQ:gqhuang@hkucc.hku.hk | en_US |
dc.identifier.authority | Huang, GQ=rp00118 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-32544459607 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-32544459607&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.spage | 43 | en_US |
dc.identifier.epage | 57 | en_US |
dc.identifier.scopusauthorid | Huang, GQ=7403425048 | en_US |