Adam–Eve-like genetic algorithm: a methodology for optimal design of a simple flexible assembly system

The assembly process is an essential part of the total manufacturing process in today’s manufacturing system. The simple Flexible Assembly System (FAS) which is proposed in this article includes a set of Removal Item Case (RIC) of Generalized CSPS workstations. Since there are numerous system parameters and variables with considerable interaction, the optimal design of the system seems to be a complex task. An Adam–Eve-like GA was introduced and proposed in order to design the simple FAS. Taking a hint from nature, the proposed method has some special characteristics which distinguish it from others. A comparison between the Adam–Eve-like GA and traditional GAs was conducted. Based on the results from an optimization standpoint, the Adam–Eve-like GA seems to produce reasonable engineering results in an inherently difficult area where few other techniques are available. Findings suggest that it may be beneficial to apply the Adam–Eve-like GA to other difficult optimization problems.