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  5. Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan

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Article
English
2014

Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan

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English
2014
Applied Soft Computing
Vol 19
DOI: 10.1016/j.asoc.2014.02.005

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Xin-she Yang
Xin-she Yang

Middlesex University - London

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M.K. Marichelvam
T. Prabaharan
Xin-she Yang

Abstract

The multistage hybrid flow shop (HFS) scheduling problems are considered in this paper. Hybrid flowshop scheduling problems were proved to be NP-hard. A recently developed cuckoo search (CS) metaheuristic algorithm is presented in this paper to minimize the makespan for the HFS scheduling problems. A constructive heuristic called NEH heuristic is incorporated with the initial solutions to obtain the optimal or near optimal solutions rapidly in the improved cuckoo search (ICS) algorithm. The proposed algorithm is validated with the data from a leading furniture manufacturing company. Computational results show that the ICS algorithm outperforms many other metaheuristics.

How to cite this publication

M.K. Marichelvam, T. Prabaharan, Xin-she Yang (2014). Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan. Applied Soft Computing, 19, pp. 93-101, DOI: 10.1016/j.asoc.2014.02.005.

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Publication Details

Type

Article

Year

2014

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

Applied Soft Computing

DOI

10.1016/j.asoc.2014.02.005

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