关键词: 数控加工, 切削参数, 元胞粒子群算法, 约束处理

Abstract: Aiming at the nonlinearity and multi-constraints of NC cutting parameter optimization problem, an optimization method based on Cellular Particle Swarm Optimization（CPSO） algorithm is employed. In basis of Particle Swarm Optimization（PSO） algorithm, the concept of neighbor is introduced in order to search the local information in solution space and to extend the scope of information communication among particles out of the population, and thus to search more hopeful solution space. Based on penalty function mechanism, mark variable is introduced to record whether a particle has ever satisfied all of the constraints. The individual extreme value of a particle as well as the global extreme value of the population updates according to mark variable. By comparing the optimization result acquired by CPSO algorithm with results gained from other algorithms, its validity and superiority on solving NC cutting parameter optimization problem can be confirmed.

Key words: Numerical Control（NC） machining, cutting parameter, cellular particle swarm optimization algorithm, constraints processing