Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/J.ENVSOFT.2019.05.003
Volltext Autorenversion
Titel (primär) Constraints in multi-objective optimization of land use allocation – Repair or penalize?
Autor Strauch, M. ORCID logo ; Cord, A.F.; Pätzold, C.; Lautenbach, S.; Kaim, A.; Schweitzer, C.; Seppelt, R.; Volk, M.
Quelle Environmental Modelling & Software
Erscheinungsjahr 2019
Department CLE
Band/Volume 118
Seite von 241
Seite bis 251
Sprache englisch
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.
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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 10.1016/J.ENVSOFT.2019.05.003