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Publikationstyp
Wissenschaftlicher Artikel
Erscheinungsjahr
2019
Constraints in multi-objective optimization of land use allocation - Repair or penalize?
Constraints in multi-objective optimization of land use allocation - Repair or penalize?
Herausgeber
Quelle
Environmental Modelling & Software
118 (2019)
118 (2019)
Schlagwörter
Ökosystemdienstleistung, Biologische Vielfalt
Forschungskennzahl (FKZ)
Verbundene Publikation
Zitation
STRAUCH, Michael, Anna F. CORD, Carola PÄTZOLD und Christian SCHWEITZER, 2019. Constraints in multi-objective optimization of land use allocation - Repair or penalize? Environmental Modelling & Software [online]. 2019. Bd. 118 (2019). DOI 10.60810/openumwelt-1361. Verfügbar unter: https://openumwelt.de/handle/123456789/5297
Zusammenfassung englisch
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. © 2019 Elsevier Ltd. All rights reserved.