Paper Info
Title
A Java-based parallel genetic algorithm for the land use planning problem
Abstract
In this work, the application of genetic algorithms to the elaboration of land use plans is studied. These plans follow the national legal rules and experts' considerations. Two optimization criteria are applied: aptitude and compactness. As the number of affected plots can be large and, consequently, the execution time of the algorithm can be potentially high, the work is focused on the implementation and analysis of different parallel paradigms: multi-core parallelism, cluster parallelism and the combination of both.
Year
DOI
Venue
2011
10.1145/2001858.2001978
GECCO (Companion)
Keywords
DocType
Citations 
national legal rule,affected plot,execution time,land use plan,genetic algorithm,land use planning problem,optimization criterion,java-based parallel genetic algorithm,cluster parallelism,different parallel paradigm,multi-core parallelism,distributed programming,parallel programming,land use planning,genetic algorithms
Conference
0
PageRank 
References 
Authors
0.34
1
9
Name
Order
Citations
PageRank
Juan Porta1202.24
Jorge Parapar2273.66
Guillermo L. Taboada329929.10
Ramón Doallo442941.71
Francisco F. Rivera517726.17
Inés Santé6584.61
Marcos Suárez720.71
Marcos Boullón8485.22
Rafael Crecente9534.75