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Evolutionary search for understanding movement dynamics on mixed networks / William M. Spears in Geoinformatica, vol 17 n° 2 (April 2013)  

Public [article]  inGeoinformatica > vol 17 n° 2 (April 2013) . - pp 353 - 385 Titre : Evolutionary search for understanding movement dynamics on mixed networks Type de document : Article/Communication Auteurs : William M. Spears, Auteur ; Steven D. Prager, Auteur Année de publication : 2013 Article en page(s) : pp 353 - 385 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] algorithme évolutionniste [Termes IGN] données localisées [Termes IGN] données localisées dynamiques [Termes IGN] navigation [Termes IGN] raisonnement [Termes IGN] recherche d'information géographique Résumé : (Auteur) This paper describes an approach to using evolutionary algorithms for reasoning about paths through network data. The paths investigated in the context of this research are functional paths wherein the characteristics (e.g., path length, morphology, location) of the path are integral to the objective purpose of the path. Using two datasets of combined surface and road networks, the research demonstrates how an evolutionary algorithm can be used to reason about functional paths. We present the algorithm approach, the parameters and fitness function that drive the functional aspects of the path, and an approach for using the algorithm to respond to dynamic changes in the search space. The results of the search process are presented in terms of the overall success based on the response of the search to variations in the environment and through the use of an occupancy grid characterizing the overall search process. The approach offers a great deal of flexibility over more conventional heuristic path finding approaches and offers additional perspective on dynamic network analysis. Numéro de notice : A2013-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-012-0155-x Date de publication en ligne : 11/04/2012 En ligne : https://doi.org/10.1007/s10707-012-0155-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32301 [article]

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