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  5. A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems

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Article
English
2013

A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems

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English
2013
IEEE Transactions on Evolutionary Computation
Vol 18 (2)
DOI: 10.1109/tevc.2013.2240304

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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

Hybrid flowshop scheduling problems include the generalization of flowshops with parallel machines in some stages. Hybrid flowshop scheduling problems are known to be NP-hard. Hence, researchers have proposed many heuristics and metaheuristic algorithms to tackle such challenging tasks. In this letter, a recently developed discrete firefly algorithm is extended to solve hybrid flowshop scheduling problems with two objectives. Makespan and mean flow time are the objective functions considered. Computational experiments are carried out to evaluate the performance of the proposed algorithm. The results show that the proposed algorithm outperforms many other metaheuristics in the literature.

How to cite this publication

M.K. Marichelvam, T. Prabaharan, Xin-she Yang (2013). A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems. IEEE Transactions on Evolutionary Computation, 18(2), pp. 301-305, DOI: 10.1109/tevc.2013.2240304.

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Publication Details

Type

Article

Year

2013

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Evolutionary Computation

DOI

10.1109/tevc.2013.2240304

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