An Improved Differential Evolution (IDE) Based on Double Populations for Cylindrical Grinding Optimization

This paper is concerned with optimization of a two-stage cylindrical grinding cycle to enhance production rate subjected to surface finish for rough grinding and to reduce surface roughness under constraint of production rate for finish grinding. In addition, the minimum production cost is also desired for both stages and the common constraints of both stages are thermal damage, wheel wear parameter and grinding stabilization requirement. An improved DE based on double populations is introduced to optimize this grinding operation and the optimal results are compared with the results obtained by the original DE algorithm.