SCWOA: an efficient hybrid algorithm for parameter optimization of multi-pass milling process

In order to minimize total production time in multi-pass milling process, selecting optimal values of the process parameters is of great importance. The parameter optimization model of multipass milling process is a Constrained Non-Linear Programming formulation. Due to nonlinearity and complexity of the mathematical model, developing new solution methodologies, which can provide efficient solutions, is essential. For this purpose, in this paper a novel hybrid algorithm called Sine-Cosine Whale Optimization Algorithm is proposed for parameter optimization problem of multi-pass milling process in order to minimize total production time. The SCWOA uses exploration and exploitation abilities of the two basic algorithms to achieve better solutions. To show efficiency of the proposed algorithm, an experimental study is carried out and the result of the proposed algorithm is compared to the ones in the literature. The findings revealed that SCWOA provides promising solutions which result in significantly lower production time.