Flow Shop Scheduling Algorithms: Design and Performance Analysis
is an in-depth exploration of flow shop scheduling models, critically important in discrete manufacturing and process industries.
The book presents a blend of exact algorithms, such as branch and bound, and approximate methods, including intelligent optimization techniques, to tackle the NP-hard problems (a class of complex computational problems that are at least as hard as the hardest problems in the NP class) inherent in flow shop scheduling.
It offers readers a means to achieve optimal or near-optimal solutions for a range of scheduling problems, from small to medium scale, with a focus on scenarios involving release dates and other complex constraints.
The book includes many algorithmic designs, performance analyses, and numerical experiments that validate the efficacy of the proposed methods
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