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Conference Paper: Evolving artificial ant systems to improve layouts of graphical objects

TitleEvolving artificial ant systems to improve layouts of graphical objects
Authors
Issue Date2004
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Artificial Intelligence (Subseries Of Lecture Notes In Computer Science), 2004, v. 3157, p. 955-956 How to Cite?
AbstractArtificial ant systems (AAS) have been widely applied to solve many important industrial applications including network configuration or vehicle routing that involve constrained optimisation. In this paper, we explore the possible uses of AAS to handle layouts of graphical objects using constrained optimisation approach. In our evolving AAS, the stepwise movement of each individual ant naturally corresponds to the iterative adjustment of each graphical object in both x- and y-coordinates until a local minimum of a predefined objective function is reached. Up to our knowledge, this work represents the first attempt of applying AAS to improve layouts of graphical objects with simpler computation as compared to existing approaches, thus presenting new opportunities for further investigations. © Springer-Verlag Berlin Heidelberg 2004.
Persistent Identifierhttp://hdl.handle.net/10722/99279
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorTam, Ven_HK
dc.contributor.authorKoo, Sen_HK
dc.contributor.authorSugiyama, Ken_HK
dc.date.accessioned2010-09-25T18:23:09Z-
dc.date.available2010-09-25T18:23:09Z-
dc.date.issued2004en_HK
dc.identifier.citationLecture Notes In Artificial Intelligence (Subseries Of Lecture Notes In Computer Science), 2004, v. 3157, p. 955-956en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99279-
dc.description.abstractArtificial ant systems (AAS) have been widely applied to solve many important industrial applications including network configuration or vehicle routing that involve constrained optimisation. In this paper, we explore the possible uses of AAS to handle layouts of graphical objects using constrained optimisation approach. In our evolving AAS, the stepwise movement of each individual ant naturally corresponds to the iterative adjustment of each graphical object in both x- and y-coordinates until a local minimum of a predefined objective function is reached. Up to our knowledge, this work represents the first attempt of applying AAS to improve layouts of graphical objects with simpler computation as compared to existing approaches, thus presenting new opportunities for further investigations. © Springer-Verlag Berlin Heidelberg 2004.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)en_HK
dc.titleEvolving artificial ant systems to improve layouts of graphical objectsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailTam, V:vtam@eee.hku.hken_HK
dc.identifier.authorityTam, V=rp00173en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-22944489941en_HK
dc.identifier.hkuros103180en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-22944489941&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3157en_HK
dc.identifier.spage955en_HK
dc.identifier.epage956en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridTam, V=7005091988en_HK
dc.identifier.scopusauthoridKoo, S=36820822100en_HK
dc.identifier.scopusauthoridSugiyama, K=22434069400en_HK

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