Approximating Difference Game Open-Loop Steady States Using Reiterative Genetic Algorithms
Ryan McAllister, Michael Bulmer · 2000
This paper approximates open-loop steady states from a difference game using reiterative runs of a genetic algorithm. Each iteration uses the state variable steady state approximation from the previous run as its starting point. The results show that in solving complex games, using a reiterative approach may be more efficient than increasing the duration of the game.