Adaptive optimization and the harvest of biological populations

作者: Byron K. Williams

DOI: 10.1016/0025-5564(96)00021-1

关键词: Operations researchNatural resourcePopulationComputer scienceAdaptive algorithmAdaptive managementSampling (statistics)Adaptive optimizationMarkov decision processResource (project management)

摘要: Abstract Adaptive management of renewable biotic resources accounts explicitly for uncertainties in system responses to and recognizes the importance reducing while pursuing other goals. An adaptive approach harvest wildlife populations that are subject (1) uncontrollable environmental variation, (2) about appropriate characterization resource dynamics, (3) limitations on controllability rates, (4) as population status, expressed sampling variation monitoring habitats, is described. framed terms maximizing long-term value against a background various kinds degrees uncertainty, with an emphasis structural uncertainty. By extension “system state,” optimization can be defined Markov decision processes. Solution algorithms described systems uncertainty either partially or completely observable. illustrated example waterfowl incorporates relationship between rates survivorship.

参考文章(20)
Byron K. Williams, Review of dynamic optimization methods in renewable natural resource management Natural Resource Modeling. ,vol. 3, pp. 137- 216 ,(1989) , 10.1111/J.1939-7445.1989.TB00074.X
Kenneth P. Burnham, David R. Anderson, Population ecology of the mallard: VI. The effect of exploitation on survival Resource Publication. ,(1976)
Cyrus Derman, Finite State Markovian Decision Processes Mugniram Bangur Memorial Engineering College, Jodhpur. ,(1970)
Byron K. Williams, Optimal stochastic control in natural resource management: framework and examples Ecological Modelling. ,vol. 16, pp. 275- 297 ,(1982) , 10.1016/0304-3800(82)90012-6
Byron K. Williams, Markov: A methodology for the solution of infinite time horizon markov decision processes Applied Stochastic Models and Data Analysis. ,vol. 4, pp. 253- 271 ,(1988) , 10.1002/ASM.3150040405