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A Java-based parallel genetic algorithm for the land use planning problem

Published: 12 July 2011 Publication History

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.

References

[1]
B. Carpenter, V. Getov, G. Judd, A. Skjellum, and G. Fox. MPJ: MPI-like message passing for Java. Concurrency - Practice and Experience, 12(11):1019--1038, 2000.
[2]
K. Matthews, S. Craw, I. MacKenzie, S. Elder, and A. Sibbald. Applying genetic algorithms to land use planning. In Proceedings of the 18th Workshop of the UK Planning and Scheduling Special Interest Group, pages 109--115. University of Salford, December 1999.

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cover image ACM Conferences
GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
July 2011
1548 pages
ISBN:9781450306904
DOI:10.1145/2001858

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2011

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Author Tags

  1. distributed programming
  2. genetic algorithms
  3. land use planning
  4. mpj
  5. parallel programming

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