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Referenztyp Zeitschriften
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Volltext Autorenversion
Titel (primär) Constraints in multi-objective optimization of land use allocation – Repair or penalize?
Autor Strauch, M.; Cord, A.F.; Pätzold, C.; Lautenbach, S.; Kaim, A.; Schweitzer, C.; Seppelt, R.; Volk, M.;
Journal / Serie Environmental Modelling & Software
Erscheinungsjahr 2019
Department CLE;
Band/Volume 118
Sprache englisch;
POF III (gesamt) T12;
Keywords Land use allocatio;n Ecosystem services; Biodiversity; Multi-objective optimization; Constraint-handling
Abstract Combining simulation models and multi-objective optimization can help solving complex land use allocation problems by considering multiple, often competing demands on landscapes, such as agriculture, (drinking) water provision, or biodiversity conservation. The search for optimal land use allocations has to result in feasible solutions satisfying “real-world” constraints. We here introduce a generic and readily applicable tool to integrate user-specific spatial models (e.g. assessing different ecosystem services) for a Constrained Multi-objective Optimization of Land use Allocation (CoMOLA). The tool can handle basic land use conversion constraints by either a newly and specifically developed method to repair infeasible solutions or by penalizing constraint violation. CoMOLA was systematically tested for different levels of complexity using a virtual landscape and simple ecosystem service and biodiversity models. Our study shows that using repair mechanisms seems to be more effective in exploring the feasible solution space while penalizing constraint violation likely results in infeasible solutions.
ID 21871
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=21871
Strauch, M., Cord, A.F., Pätzold, C., Lautenbach, S., Kaim, A., Schweitzer, C., Seppelt, R., Volk, M. (2019):
Constraints in multi-objective optimization of land use allocation – Repair or penalize?
Environ. Modell. Softw. 118 , 241 - 251