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Article summary:

1. The article presents an algorithm for minimizing earliness, tardiness, and due-date costs for equal-sized jobs.

2. The algorithm makes use of bottleneck jobs and priority queues, and has a computational complexity of O(n4logn).

3. This complexity is a significant improvement of the existing algorithm in the literature.

Article analysis:

The article appears to be reliable and trustworthy as it provides detailed information about the algorithm presented, including its computational complexity and how it compares to existing algorithms in the literature. The article also provides citations to other relevant research papers which adds to its credibility. However, there are some potential biases that should be noted. For instance, the article does not explore any counterarguments or alternative solutions to the problem being addressed. Additionally, there is no discussion of possible risks associated with using this algorithm or any potential drawbacks that could arise from its implementation. Furthermore, there is no mention of any ethical considerations related to using this algorithm which could be important depending on the context in which it is used.