Climate Change: Optimization of Response Strategies |
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| Authors: | M Janssen J Rotmans K Vrieze |
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| Affiliation: | 1. University of Limburg, The Netherlands;2. National Institute of Public Health and Environmental Protection, The Netherlands;1. Exercise and Performance Nutrition Laboratory, Kinesiology Department, College of Science, Technology, and Health, Lindenwood University, St. Charles, MO, USA;2. FitBiomics, Inc, New York City, NY, USA;3. Ludwig Institute for Cancer Research, University of Oxford, Oxford, UK;4. Increnovo, LLC, Whitefish Bay, WI, USA;5. Department of Microbiology, Harvard Medical School, Boston, MA, USA;6. Section on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA;1. Department of Management Science, University of Strathclyde, 40 George Street, Glasgow G1 1QE, UK;2. School of Information Technology, Deakin University, Burwood, Vic 3125, Australia;3. Andrew Love Cancer Centre, Barwon Health, Geelong, Vic 3220, Australia;1. School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332-0160, USA;2. Department of Mathematics, University of Oregon, Eugene, OR 97403-1222, USA |
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| Abstract: | The development of climate change response strategies is expected to remain an important issue in the next few decades. The use of optimization techniques might serve as a helpful guide in this process. Although, in recent years, a number of studies have focused on optimization techniques, the optimization models do not fully employ the dynamics of climatic and economic systems. In this paper a heuristic is introduced that combines an integrated simulation model and an optimization technique (local search). This approach may be considered as a first step towards a more comprehensive and systematic analysis of climate change response strategies in a dynamic setting described by a simulation model. Results of a number of experiments in which the heuristic is applied to the integrated global assessment model TARGETS are discussed. |
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| Keywords: | optimization simulation climate change |
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