Özyıldırım, S.2016-02-082016-02-0820000378-4754http://hdl.handle.net/11693/24996In this paper, we implement an adaptive search algorithm, genetic algorithm to derive closed-loop Nash equilibria for linear-quadratic dynamic games. The computation of these equilibria is quite difficult to deal with analytically and numerically. Our strategy is to search over all time-invariant strategies depending only on the current value of the state. Also provided are some evidences which show the success of the algorithm.EnglishClosed-loop equilibriaGenetic algorithmLinear feedback ruleArticle1872-7166