An Efficient Hybrid Based on HS and GA Solving Blocking Flow Shop Scheduling Problems

Yun Bao; Liping Zheng; Hua Jiang

doi:10.4028/www.scientific.net/AMR.479-481.1893

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481An Efficient Hybrid Based on HS and GA Solving...

An Efficient Hybrid Based on HS and GA Solving Blocking Flow Shop Scheduling Problems

Abstract:

This paper presents an efficient hybrid algorithms (EHA) based on harmony search (HS) algorithms and genetic algorithm (GA) for solving blocking flow shop scheduling problem. An improved GA is used to get better results. The computational result shows that EHA is not only better than GA , but also better than HS algorithm.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

1893-1896

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1893

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Online since:

February 2012

Authors:

Yun Bao, Liping Zheng, Hua Jiang

Keywords:

Blocking Flow Shop, Genetic Algorithm (GA), Harmony Search, Local Search

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References

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