  This paper research review Ant colony optimization (ACO) and Genetic
Algorithm (GA), both are two powerful meta-heuristics. This paper explains some
major defects of these two algorithm at first then proposes a new model for ACO
in which, artificial ants use a quick genetic operator and accelerate their
actions in selecting next state. Experimental results show that proposed hybrid
algorithm is effective and its performance including speed and accuracy beats
other version.
