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Scheduling Algorithms
By Peter Brucker
Subjects: Computer network architectures, Engineering, Computer capacity, Business planning, Physics, Economics, Computer algorithms, Mathematical optimization
Description: Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multipurpose machines are discussed. The methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for the different classes of deterministic scheduling problems are summarized.
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