TY - JOUR
T1 - A genetic algorithm approach to multiobjective land use planning
AU - Stewart, T.J.
AU - Janssen, R.
AU - van Herwijnen, M.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/3242667899
UR - https://www.scopus.com/inward/citedby.url?scp=3242667899&partnerID=8YFLogxK
U2 - 10.1016/S0305-0548(03)00188-6
DO - 10.1016/S0305-0548(03)00188-6
M3 - Article
SN - 0305-0548
VL - 31
SP - 2293
EP - 2313
JO - Computers and Operations Research
JF - Computers and Operations Research
IS - 14
ER -
