A genetic algorithm approach to multiobjective land use planning

T.J. Stewart, R. Janssen, M. van Herwijnen

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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. © 2003 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)2293-2313
Number of pages21
JournalComputers and Operations Research
Volume31
Issue number14
DOIs
Publication statusPublished - 2004

Fingerprint

Land Use
Land use
Genetic algorithms
Planning
Genetic Algorithm
Geographical regions
Combinatorial optimization
Decision support systems
Goal Programming
Reference Point
Decision Support Systems
Nonlinear Optimization
Combinatorial Optimization Problem
Integrate
Land use planning
Genetic algorithm
Reference point
Optimization problem
The Netherlands
Goal programming

Cite this

Stewart, T.J. ; Janssen, R. ; van Herwijnen, M. / A genetic algorithm approach to multiobjective land use planning. In: Computers and Operations Research. 2004 ; Vol. 31, No. 14. pp. 2293-2313.
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A genetic algorithm approach to multiobjective land use planning. / Stewart, T.J.; Janssen, R.; van Herwijnen, M.

In: Computers and Operations Research, Vol. 31, No. 14, 2004, p. 2293-2313.

Research output: Contribution to JournalArticleAcademicpeer-review

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