Content deleted Content added
A reference to the first paper in economics to use genetic algorithms |
Reverting edit(s) by 197.55.44.254 (talk) to rev. 1154597712 by Dancing Dollar: Reverting good faith edits: (UV 0.1.5) |
||
| (11 intermediate revisions by 9 users not shown) | |||
Line 1:
{{Main|genetic algorithm}}
Line 11 ⟶ 10:
After all agents have made a quantity production decision, the quantities are aggregated and plugged into a demand function to get a price. Each firm's profit is then calculated. Fitness values are then calculated as a function of profits. After the offspring pool is generated, hypothetical fitness values are calculated. These hypothetical values are based on some sort of estimation of the price level, often just by taking the previous price level.
==See also==
*{{slink|List of genetic algorithm applications #Finance and Economics}}
== References ==
* J H Miller, 'A Genetic Model of Adaptive Economic Behavior', University of Michigan working paper, 1986.
* J Arifovic, 'Learning by Genetic Algorithm in Economic Environments', PhD Thesis, University of Chicago, 1991.
*
* R Hoffmann, 'The independent localisations of interaction and learning in the repeated prisoner's dilemma', Theory and Decision, vol. 47, p. 57–72, 1999.
* R Hoffmann, 'The ecology of cooperation', Theory and Decision, vol. 50, Issue 2. p. 101–118, 2001.
==External links==
* [
* [
[[Category:Computational economics]]
[[Category:Production economics]]
[[Category:Genetic algorithms]]
[[Category:Optimization algorithms and methods]]
| |||