A genetic algorithm approach to multiobjective land use planning
By T. Stewart, R. Janssen, M. Herwijnen. Computers & Operations Research, 2004
318 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/e1f266e731afb865e276ae2e1cac5e5a63d3b1f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Control and Systems Engineering
In Economics and Econometrics
Citations in the corpus
- Efficiency of construction land allocation in China: An econometric analysis of panel data (2018, methodology): “Linear programming, system dynamics and the Pareto front model, as well as genetic algorithms, are often used to optimize land use allocation (Liu, 1999; Verburg et al., 2002; Stewart et al., 2004; Zhang et al., 2011; Masoomi et al., 2013; Gong et al., 2012; Zhou, 2015).”
- Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms (2006, methodology): “G.A. Mendoza, H. Martins / Forest Ecology and Management 230 (2006) 1–22 13 G.A. Mendoza, H. Martins / Forest Ecology and Management 230 (2006) 1–2214 Table 4 (Continued ) Reference Preferences included Single DM Group decision Type of DM Siitonen et al. (2003) A priori X Analyst Ananda and Herath (”