作者: Zulqarnain Haider , Hadi Charkhgard , Changhyun Kwon
DOI: 10.1016/J.ECOLMODEL.2017.12.006
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摘要: Abstract In conservation planning, the data related to size, growth and diffusion of populations is sparse, hard collect unreliable at best. If when readily available, it not sufficient quantity construct a probability distribution. such scenario, applying deterministic or stochastic approaches problems in planning either ignores uncertainty completely assumes distribution that does accurately describe nature uncertainty. To overcome these drawbacks, we propose robust optimization approach considers without making any assumption about its We explore two basic formulations reserve selection invasive species control show value proposed optimization. Several novel techniques are developed compare results produced by existing approach. For case fails find feasible solution, bi-objective technique handle infeasibility modifying level Some numerical experiments conducted demonstrate efficacy our finding more applicable strategies.