A primer on implementing compressed simulated annealing for the optimisation of a constrained simulation model in Microsoft Excel
| dc.creator | Doole, Graeme J. | |
| dc.date | 2017-04-01T19:50:54Z | |
| dc.date.accessioned | 2026-07-09T02:50:29Z | |
| dc.description | This short paper provides a simple introduction on how a simulation model implemented in Microsoft Excel® can be optimised using Visual Basic for Applications (VBA) programming and the compressed simulated annealing algorithm (Ohlmann et al., 2004; Ohlmann and Thomas, 2007). The standard simulated annealing procedure enters as a special case. Practical advice for determining the parameters that guide the stochastic search process in an annealing algorithm is also given. | |
| dc.identifier | doi:10.22004/ag.econ.7420 | |
| dc.identifier | https://ageconsearch.umn.edu/record/7420/files/simulated%20annealing.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/7420 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/521144 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/7420 | |
| dc.title | A primer on implementing compressed simulated annealing for the optimisation of a constrained simulation model in Microsoft Excel | |
| dc.type | Text |