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.
Original language | English (US) |
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Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | International Transactions in Operational Research |
Volume | 2 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1995 |
Externally published | Yes |
Keywords
- climate change
- optimization
- simulation
ASJC Scopus subject areas
- Business and International Management
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Management of Technology and Innovation