Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem

Author:

Aerts Jeroen C. J. H.,van Herwijnen Marjan,Stewart Theodor J.

Publisher

Springer Berlin Heidelberg

Reference33 articles.

1. Aarts, E., Korst, J.: Simulated Annealing and Boltzman Machines. A Stochastic Approach to Combinatorial Optimisation and Neural Computing, J. Wiley, New York (1989)

2. Aerts, J.C.J.H.: Spatial Decision Support for Resource Allocation. Integration of Optimization, Uncertainty analysis and Visualization techniques. PhD thesis, University of Amsterdam, Thela Thesis publishers, Amsterdam (2002)

3. Aerts, J.C.J.H. and Heuvelink, G.B.M.; Using Simulating Annealing for Resource Allocation. International Journal of Geographic Information Science 16 (2002) 571–587

4. Aerts, J.C.J.H., Eisinger, E, Heuvelink G.B.M, Stewart T.J.: Using Linear Integer Programming for Multi Site Land Use Allocation. Geographical Analysis. (Accepted Aug. 2002)

5. Boston, K. and Bettinger, P.: An Analysis of Monte Carlo Integer Programming, Simulated Annealing, and Tabu Search Heuristics for Solving Spatial Harvest Scheduling Problems. Forest Science 45 (1999) 292–301

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