Geoscience Reference
In-Depth Information
Brandl, B. 2007. Automated modelling in empirical social sciences using a genetic algorithm Research
database, The University of York. In Computer Aided Systems Theory—EUROCAST 2007 , eds.
R.M. Diaz, F. Pichler, and A.Q. Arencibia, pp. 912-919. Berlin, Germany: Springer-Verlag. https://
pure.york.ac.uk/portal/en/publications/automated-modelling-in-empirical-social-sciences-using-a-
genetic-algorithm(a5d0f2b6-5e5d-4777-8025-0221c2780397)/export.html.
Bull, L. March 1, 2001. Simple models of coevolutionary genetic algorithms. Artificial Life and Robotics 5(1):
58-66.
Cantú-Paz, E. April 15, 2002. Order statistics and selection methods of evolutionary algorithms. Information
Processing Letters 82(1): 15-22.
Cao, K., M. Batty, B. Huang, Y. Liu, L. Yu, and J. Chen. December 2011. Spatial multi-objective land use
optimization: Extensions to the non-dominated sorting genetic algorithm-II. International Journal of
Geographical Information Science 25(12): 1949-1969.
Cao, K., B. Huang, S. Wang, and H. Lin. May 2012. Sustainable land use optimization using boundary-based
fast genetic algorithm. Computers, Environment and Urban Systems 36(3): 257-269.
Chandramouli, M., B. Huang, and L. Xue. 2009. Spatial change optimization: Integrating GA with Visualization
for 3D scenario generation. Photogrammetric Engineering and Remote Sensing 75(8): 1015-1022.
CODeM. 2013. Complex Optimization and Decision-Making Laboratory: Genetic Algorithms Toolbox.
http://codem.group.shef.ac.uk/index.php/ga-toolbox [Date accessed 10/02/2014].
Comber, A.J., S. Sasaki, H. Suzuki, and C. Brunsdon. May 2011. A modified grouping genetic algorithm
to select ambulance site locations. International Journal of Geographical Information Science
25(5): 807-823.
Datta, D., J. Malczewski, and J.R. Figueira. 2012. Spatial aggregation and compactness of census areas with a
multiobjective genetic algorithm: A case study in Canada. Environment and Planning B: Planning and
Design 39(2): 376-392.
Davis, L. 1991. Handbook of Genetic Algorithms . New York: Van Nostrand Reinhold.
De Jong, K.A. 1975. Analysis of the behaviour of a class of genetic adaptive system. PhD thesis, Ann Arbor,
MI: University of Michigan.
De Jong, K.A. 2006. Evolutionary Computation: A Unified Approach . Cambridge, MA: MIT Press.
Deb, K. 2009. Multi-Objective Optimization Using Evolutionary Algorithms . Chichester, U.K.: Wiley.
Demetriou, D., See, L., and Stillwell, J. 2013. A spatial genetic algorithm for automating land partitioning.
International Journal of Geographical Information Science 27(12): 2391-2409.
Diplock, G. 1998. Building new spatial interaction models by using genetic programming and a supercomputer.
Environment and Planning A 30(10): 1893-1904.
Diplock, G. 2000. A new approach to spatial model building. In Geocomputation , eds. S. Openshaw and R.J.
Abrahart, pp. 219-252. London, U.K.: Taylor & Francis.
Diplock, G. and S. Openshaw. 1996. Using simple genetic algorithms to calibrate spatial interaction models.
Geographical Analysis 28(3): 262-279.
Dyer, D.W. 2006. Watchmaker Framework for Evolutionary Computation. http://watchmaker.uncommons.
org<http://watchmaker.uncommons.org/ [Date accessed 10/02/2014].
Eiben, A.E. and J.E. Smith. 2003. Introduction to Evolutionary Computing . New York: Springer.
Eldrandaly, K. June 2010. A GEP-based spatial decision support system for multisite land use allocation.
Applied Soft Computing 10(3): 694-702.
Evans, A.J. 2012. Uncertainty and error. In Agent-Based Models of Geographical Systems , eds. A.J. Heppenstall,
A.T. Crooks, L.M. See, and M. Batty, pp. 309-347. Dordrecht, the Netherlands: Springer.
Expósito, R.R., G.L. Taboada, S. Ramos, J. Touriño, and R. Doallo. January 2013. Performance analysis of
HPC applications in the cloud. Future Generation Computer Systems 29(1): 218-229.
Ferreira, C. 2001. Gene expression programming: A new adaptive algorithm for solving problems. Complex
Systems 13(2): 1-22.
Fischer, M.M. and Y. Leung. August 1, 1998. A genetic-algorithms based evolutionary computational neural
network for modelling spatial interaction data neural network for modelling spatial interaction data. The
Annals of Regional Science 32(3): 437-458.
Flake, G.W. 2001. The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex
Systems, and Adaptations , 4th edn. Cambridge, MA: MIT Press.
Fogel, D.B. 1998. Evolutionary Computation: The Fossil Record . New York: IEEE Press.
Fogel, D.B. 2006. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence . Hoboken,
NJ: John Wiley & Sons.
Fogel, G.B. and D.W. Corne. 2003. Evolutionary Computation in Bioinformatics . Amsterdam, the Netherlands:
Morgan Kaufmann.
Search WWH ::




Custom Search