In order to solve the problem of equipment layout in complex products workshop, the real-valued coding and evolutionary generation gap method are used to improve the genetic algorithm to solve the optimal layout of equipment. According to the production characteristics and process characteristics of the product, a mathematic model of the equipment layout is established by defining the optimization objectives and constraints. Taking a certain intelligent production line of aero-engine components to be built as an example, the method is validated by QUEST software. Experimental results show that the method has achieved better optimization results.