Sustainable land use optimization using Boundary-based Fast Genetic Algorithm

@article{Cao2012SustainableLU,
  title={Sustainable land use optimization using Boundary-based Fast Genetic Algorithm},
  author={Kai Cao and Bo Huang and Shaowen Wang and Hui Lin},
  journal={Computers, Environment and Urban Systems},
  year={2012},
  volume={36},
  pages={257-269}
}
Under the notion of sustainable development, a heuristic method named as the Boundary-based Fast Genetic Algorithm (BFGA) is developed to search for optimal solutions to a land use allocation problem with multiple objectives and constraints. Plans are obtained based on the trade-off among economic benefit, environmental and ecological benefit, social equity including Gross Domestic Product (GDP), conversion cost, geological suitability, ecological suitability, accessibility, Not In My Back Yard… CONTINUE READING