| Article ID: | iaor1996185 |
| Country: | United Kingdom |
| Volume: | 2 |
| Issue: | 1 |
| Start Page Number: | 1 |
| End Page Number: | 15 |
| Publication Date: | Jan 1995 |
| Journal: | International Transactions in Operational Research |
| Authors: | Rotmans Jan, Janssen Marco, Vrieze Koos |
| Keywords: | simulation: applications |
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.