Empirical study of dense schedule performance ratio on open-shop scheduling problem
Master of Science
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In this paper, we study properties of dense schedules for the open-shop problems and their average performance ratio. After using two sets of test problems, we show that the average performance ratio of dense schedules is actually much better than ( ), the worst-case performance ratio in the conjecture. The results from randomly generated problems which have large sizes show that when the dimension of open-shop problems become larger, the average performance ratio is getting even smaller. Twelve heuristic algorithms to generate dense schedules are presented in Chapter 3 and the computational results of two sets of test problems are also provided.