Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities
A hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the hybrid flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. In the proposed algorithm, different crossover operators and mutation operators are in...
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2014-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/596850 |
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author | Jun-qing Li Quan-ke Pan Kun Mao |
author_facet | Jun-qing Li Quan-ke Pan Kun Mao |
author_sort | Jun-qing Li |
collection | DOAJ |
description | A hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the hybrid flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. In the proposed algorithm, different crossover operators and mutation operators are investigated. In addition, an efficient multiple insert mutation operator is developed for enhancing the searching ability of the algorithm. Furthermore, an ILS-based local search procedure is embedded in the algorithm to improve the exploitation ability of the proposed algorithm. The detailed experimental parameter for the canonical PSO is tuning. The proposed algorithm is tested on the variation of 77 Carlier and Néron’s benchmark problems. Detailed comparisons with the present efficient algorithms, including hGA, ILS, PSO, and IG, verify the efficiency and effectiveness of the proposed algorithm. |
format | Article |
id | doaj-art-6dfea928498c411aba19b00d39fec675 |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-6dfea928498c411aba19b00d39fec6752025-02-03T05:51:57ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/596850596850Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance ActivitiesJun-qing Li0Quan-ke Pan1Kun Mao2State Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, Shenyang 110819, ChinaState Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, Shenyang 110819, ChinaState Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, Shenyang 110819, ChinaA hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the hybrid flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. In the proposed algorithm, different crossover operators and mutation operators are investigated. In addition, an efficient multiple insert mutation operator is developed for enhancing the searching ability of the algorithm. Furthermore, an ILS-based local search procedure is embedded in the algorithm to improve the exploitation ability of the proposed algorithm. The detailed experimental parameter for the canonical PSO is tuning. The proposed algorithm is tested on the variation of 77 Carlier and Néron’s benchmark problems. Detailed comparisons with the present efficient algorithms, including hGA, ILS, PSO, and IG, verify the efficiency and effectiveness of the proposed algorithm.http://dx.doi.org/10.1155/2014/596850 |
spellingShingle | Jun-qing Li Quan-ke Pan Kun Mao Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities The Scientific World Journal |
title | Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities |
title_full | Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities |
title_fullStr | Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities |
title_full_unstemmed | Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities |
title_short | Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities |
title_sort | hybrid particle swarm optimization for hybrid flowshop scheduling problem with maintenance activities |
url | http://dx.doi.org/10.1155/2014/596850 |
work_keys_str_mv | AT junqingli hybridparticleswarmoptimizationforhybridflowshopschedulingproblemwithmaintenanceactivities AT quankepan hybridparticleswarmoptimizationforhybridflowshopschedulingproblemwithmaintenanceactivities AT kunmao hybridparticleswarmoptimizationforhybridflowshopschedulingproblemwithmaintenanceactivities |