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14-03-2017 | Original Article | Issue 3/2017

Chinese Journal of Mechanical Engineering 3/2017

Effective Iterated Greedy Algorithm for Flow-Shop Scheduling Problems with Time lags

Journal:
Chinese Journal of Mechanical Engineering > Issue 3/2017
Authors:
Ning ZHAO, Song YE, Kaidian LI, Siyu CHEN
Important notes
Supported by National Natural Science Foundation of China (Grant No. 71301008), and Beijing Municipal Natural Science Foundation of China (Grant No. 9144030).

Abstract

Flow shop scheduling problem with time lags is a practical scheduling problem and attracts many studies. Permutation problem(PFSP with time lags) is concentrated but non-permutation problem(non-PFSP with time lags) seems to be neglected. With the aim to minimize the makespan and satisfy time lag constraints, efficient algorithms corresponding to PFSP and non-PFSP problems are proposed, which consist of iterated greedy algorithm for permutation(IGTLP) and iterated greedy algorithm for non-permutation (IGTLNP). The proposed algorithms are verified using well-known simple and complex instances of permutation and non-permutation problems with various time lag ranges. The permutation results indicate that the proposed IGTLP can reach near optimal solution within nearly 11% computational time of traditional GA approach. The non-permutation results indicate that the proposed IG can reach nearly same solution within less than 1% computational time compared with traditional GA approach. The proposed research combines PFSP and non-PFSP together with minimal and maximal time lag consideration, which provides an interesting viewpoint for industrial implementation.

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