@article{fdi:010086695,
  title = {{P}roducing a diverse set of near-optimal reserve solutions with exact optimisation},
  author = {{B}runel, {A}drien and {O}mer, {J}. and {B}ertrand, {S}ophie},
  editor = {},
  language = {{ENG}},
  abstract = {{R}eserves are at the heart of global policies to stop the erosion of biodiversity. {O}ptimisation is increasingly used to identify reserve locations that preserve biodiversity at a minimum cost to human activities. {T}wo classes of algorithms solve this reserve site selection problem: metaheuristic algorithms (such as simulated annealing, commonly implemented in {M}arxan) and exact optimisation (i.e. integer programming, commonly implemented in {P}rioritiz{R}). {A}lthough exact approaches are now able to solve large-scale problems, metaheuristics are still widely used. {O}ne reason is that metaheuristic-based software provides a set of suboptimal reserve solutions instead of a single one. {T}hese alternative solutions are usually welcomed by stakeholders as they provide a better basis for negotiations among potentially conflictive objectives. {M}etaheuristic algorithms use random procedures to explore the space of suboptimal reserve solutions. {T}herefore, they may produce a large amount of similar, thus uninformative, alternative solutions, which usually calls for a heavy statistical post-processing. {E}ffective methods for generating a diverse set of near-optimal solutions using exact optimisation are lacking. {H}ere we present two new approaches for addressing this issue. {O}ur algorithms explicitly control both the optimality gap and the dissimilarity between alternative reserve solutions. {I}t allows the identification of a parsimonious, yet meaningful set of reserve solutions. {T}he algorithms presented here could potentially increase the uptake of exact optimisation by practitioners. {T}hese methods should contribute to less noisy and more efficient discussions in the design of conservation policies.},
  keywords = {{O}ptimal reserve site selection ; {P}resentation set ; {M}arine spatial planning ; {P}rotected areas ; {C}onservation planning ; {I}nteger linear ; programming ; {MONDE} ; {ATLANTIQUE} ; {BRESIL} ; {ZONE} {TROPICALE} ; {FERNANDO} {DE} {NORONHA}},
  booktitle = {},
  journal = {{E}nvironmental {M}odeling and {A}ssessment},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[16 p.]},
  ISSN = {1420-2026},
  year = {2022},
  DOI = {10.1007/s10666-022-09862-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086695},
}