《2016 A filtered-beam-search-based heuristic algorithm for flexible job-shop scheduling problem》.pdf
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《2016 A filtered-beam-search-based heuristic algorithm for flexible job-shop scheduling problem》.pdf
International Journal of Production Research,
Vol. 46, No. 11, 1 June 2008, 3027–3058
A filtered-beam-search-based heuristic algorithm for flexible job-shop
scheduling problem
WANG SHI-JIN*, ZHOU BING-HAI and XI LI-FENG
School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030,
People’s Republic of China
(Revision received June 2006)
Scheduling for the flexible job-shop is a very important issue in both fields of
combinatorial optimization and production operations. However, due to
combination of the routing and sequencing problems, flexible job-shop
scheduling problem (FJSP) presents additional difficulty than the classical job-
shop scheduling problem and requires more effective algorithms. This paper
developed a filtered-beam-search-based heuristic algorithm (named as HFBS) to
find sub-optimal schedules within a reasonable computational time for the FJSP
with multiple objectives of minimising makespan, the total workload of machines
and the workload of the most loaded machine. The proposed algorithm
incorporates dispatching rules based heuristics and explores intelligently the
search space to avoid useless paths, which makes it possible to improve the search
speed. Through computational experiments, the performance of the presented
algorithm is evaluated and compared with those of existing literature and those of
commonly used dispatching rules, and the results demonstrate that the proposed
algorithm is an effective and practical approach for the FJSP.
Keywords: Flexible job-shop scheduling; Filtered beam search; H
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