Recently, simulators are often utilized to regulate design factors in manufacturing systems. In order to decide the design factors without trial and errors, efficient optimization algorithms are required.
We compare eight optimization algorithms such as simulated annealing, tabu search, and genetic algorithms, by applying them to a real tandem production line. Furthermore, we propose an algorithm which mixes the simple genetic algorithms with evolution strategies. This paper illustrates the numerical results on the performance of the above algorithms.