Application of multiobjective dynamic programming to regional natural resource management |
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| Institution: | 1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, People’s Republic of China;2. AVIC Chengdu Aircraft Industrial (Group) Co., Ltd., Chengdu, 610092, People’s Republic of China;1. Institute of Fluid Mechanics, Technische Universität Braunschweig, Hermann-Blenk-Str. 37, Braunschweig, Germany;2. ONERA – The French Aerospace Lab, F-31055 Toulouse, France;1. Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;2. School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, UK;3. NGI, Department of Environmental Engineering, N-0806 Oslo, Norway;4. Norwegian University of Life Sciences (NMBU), N-1432 Aas, Norway;5. Stockbridge School of Agriculture, University of Massachusetts, Amherst, MA 01003, USA;1. Federal University of Rio De Janeiro, Rio De Janeiro, Rj, 21941-901, Brazil;2. Universidad Autónoma de San Luis Potosí, Facultad de Ingeniería, Dr. Manuel Nava No. 8, 78290, San Luis Potosí, Mexico;3. Universidad Panamericana, Facultad de Ingeniería, Álvaro Del Portillo 49, Zapopan, Jalisco, 45010, Mexico |
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| Abstract: | The general multiobjective dynamic programming problem is reformulated as a classical dynamic programming problem that then can be solved by regular dynamic programming methods. It is shown that the method of differential dynamic programming is most applicable for solution of this problem, which has a higher dimension state space. A case study, the management of a large natural resource system, is presented and modeled next. Finally, the model is applied to the case of bauxite mining development in Hungary, and numerical results for this case are presented. |
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