Solving conservation planning problems with integer linear programming
By H. Beyer, Yann Dujardin, Matthew E. Watts, Hugh P. Possingham. 2016
150 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/65ac304de206fb2253b7d061e079fca9d7eaacb4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
Citations in the corpus
- The role of artificial intelligence in achieving the Sustainable Development Goals (2019, background): “A good example of this bias is target 14.5 on conserving coastal and marine areas, where machine-learning algorithms can provide optimum solutions given a wide range of parameters regarding the best choice of areas to include in conservation networks 49 .”