Research on Parameters Optimization of Virtual NC Milling Based on Parallelism Selection Genetic Algorithm
To resolve key technology of parameter optimization of virtual NC milling physical simulation system, a multi-objectives optimized model was set up by non-linear programming theory and resolved by improved parallelism selection genetic algorithm. It was optimized when milling characters are sufficiently considered and machine quality was guaranteed. Sub-population size is decided by weighting each optimized object and calculating adaptation to assure importance of optimized objects and fasten convergence velocity. A kind of software that can optimize milling parameters of virtual NC was developed, and optimized strategy and validity of algorithm are verified which provides technology support for realizing virtual NC milling physical system.
Zhengyi Jiang and Chunliang Zhang
X. L. Sui et al., "Research on Parameters Optimization of Virtual NC Milling Based on Parallelism Selection Genetic Algorithm", Advanced Materials Research, Vols. 97-101, pp. 3498-3503, 2010