Abstract
We consider a single-machine scheduling problem with equal-sized jobs. The objective is to minimize the maximum weighted earliness–tardiness and due-date costs. We present an algorithm to solve this problem. Our algorithm makes use of bottleneck jobs and priority queues, and has a computational complexity of O ( n 4 log n ) . This complexity is a significant improvement of the existing algorithm in the literature.
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