The minimization of surplus components with normal dimensional distributions while making selective assemblies was the only objective considered in the previous research works carried out by various researchers in different periods. Seldom works have been found on selective assembly by considering all dimensional distributions. In this proposed work, a novel method is developed for making assemblies with zero surplus components and minimum clearance variation by considering arbitrary distribution, to demonstrate the greater improvement in the results than the past literature. Krill Herd algorithm has been implemented for identifying the best combination of groups. Computational results showed that the proposed krill herd algorithm outperformed as compared with existing literature and as well as the results by gaining-sharing knowledge-based algorithm, differential evolution algorithm, and particle swarm optimization algorithm.

在进行选择性组装时，将具有正常尺寸分布的多余零件最小化是在不同时期不同研究人员进行的先前研究工作中考虑的唯一目标。考虑到所有尺寸分布，很少有关于选择性装配的工作。在这项拟议的工作中，开发了一种新颖的方法，通过考虑任意分布来制造零零件零配件和最小间隙变化的组件，以证明结果比过去的文献有更大的改进。已实施Krill Herd算法来识别组的最佳组合。