  Now the Meta-Heuristic algorithms have been used vastly in solving the
problem of continuous optimization. In this paper the Artificial Bee Colony
(ABC) algorithm and the Firefly Algorithm (FA) are valuated. And for presenting
the efficiency of the algorithms and also for more analysis of them, the
continuous optimization problems which are of the type of the problems of vast
limit of answer and the close optimized points are tested. So, in this paper
the efficiency of the ABC algorithm and FA are presented for solving the
continuous optimization problems and also the said algorithms are studied from
the accuracy in reaching the optimized solution and the resulting time and the
reliability of the optimized answer points of view.
