A new method for reinforcement fuzzy controllers is presented by this article. The method
uses Artificial Bee Colony algorithm based on Q-Value to control reinforcement fuzzy
system; the algorithm is called Artificial Bee Colony-Fuzzy Q learning (ABC-FQ). In fuzzy
inference system, precondition part of rules is generated by prior knowledge, but ABC-FQ
algorithm is responsible to achieve the best combination of actions for the consequence part
of the rules. In ABC-FQ algorithm, each combination of actions is considered a food source …