Operations Research and Big Data
Tahun : 2015Pengarang : Ana Paula Ferreira Dias Barbosa Póvoa
Penerbit : Springer International Publishing Switzerland
Ket : Biodiversity has been threatened by multiple factors of distinct nature and magnitude. In order to make biodiversity to persist, conservation science urges to direct efforts to identify areas, known as reserves or protected areas (PA), capable to effectively safeguard biodiversity from their most impacting threats (Araújo et al. 2011). In this chapter we briefly report models proposed to achieve efficiency and effectiveness in area selection under stressing changing climates, pointing out their main shortcomings. We present an alternative spatial conservation model that overcomes these issues, for which we give a mixed integer linear programming (MIP) formulation and present a heuristic. Results are given comparing optimal and heuristic solutions using several synthetic datasets.
Ketegori : OPERATIONAL RESEARCH
