Abstract: Designers usually design a robust fixture locating scheme according to their own experience or some specific optimization methods. The lack of the designer's experience and the different using conditions often result in the lack of universality of this design method. A constrained multi-objective optimization algorithm is proposed to design fixture locating scheme. The proposed algorithm include a feasible solution search phase based on steady-state evolution and a double population optimization phase. In the proposed algorithm, a grid constraint decomposition approach and a feasibility criterion-based approach are used to solve the constrained multi-objective optimization problems. The reliability of the proposed algorithm is verified by validating the test function and comparing with other algorithms. An optimization design of the fixture locating scheme was completed based on the kinematics model of fixture locating scheme. The results show that the design method has the better universality and practicability, which not only simplifies the design program of fixture locating scheme, but also reveales the relationship among the offset variances of workpiece in different directions.

Key words: fixture, locatingscheme, robustness, constrained, multi-objectiveoptimization