High performance genetic algorithm for land use planning

► A parallel genetic algorithm for land-use planning problem is proposed. ► The land suitability and the shape-regularity of the land-use patches are optimized. ► Three parallel versions were developed for different types of memory architectures. ► Tests showed a good performance in multi-core and c...

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Veröffentlicht in:	Computers, environment and urban systems Jg. 37; S. 45 - 58
Hauptverfasser:	Porta, Juan, Parapar, Jorge, Doallo, Ramón, Rivera, Francisco F., Santé, Inés, Crecente, Rafael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.01.2013 Elsevier
Schlagworte:	Allocations Applied sciences Buildings. Public works Clusters of multi-core systems Computation methods. Tables. Charts Criteria Distributed programming Exact sciences and technology Genetic algorithms GIS Land use Land use management Land use planning Mathematical analysis Mathematical models Optimization Parallel programming Structural analysis. Stresses Urban development GIS Clusters of multi-core systems Parallel programming Distributed programming Land use planning Genetic algorithms Cluster analysis High performance Land use plan Modeling Implementation Distributed processing Experimental result Genetic algorithm Geographic information system Comparative study
ISSN:	0198-9715, 1873-7587
Online-Zugang:	Volltext
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