A genetic algorithm approach to multiobjective land use planning

This paper describes a class of spatial planning problems in which different land uses have to be allocated across a geographical region, subject to a variety of constraints and conflicting management objectives. A goal programming/reference point approach to the problem is formulated, which leads h...

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Published inComputers & operations research Vol. 31; no. 14; pp. 2293 - 2313
Main Authors Stewart, Theodor J, Janssen, Ron, van Herwijnen, Marjan
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.12.2004
Pergamon Press Inc
Subjects
Genetic algorithm
Genetic algorithms
Goal programming
Land use
Land use planning
Studies
Netherlands
Land use planning
Genetic algorithm
Goal programming
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Summary:This paper describes a class of spatial planning problems in which different land uses have to be allocated across a geographical region, subject to a variety of constraints and conflicting management objectives. A goal programming/reference point approach to the problem is formulated, which leads however to a difficult nonlinear combinatorial optimization problem. A special purpose genetic algorithm is developed for the solution of this problem, and is extensively tested numerically. The model and algorithm is then applied to a specific land use planning problem in The Netherlands. The ultimate goal is to integrate the algorithm into a complete land use planning decision support system.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/S0305-0548(03)00188-6