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International Journal of Production Research Volume 52, 2014 - Issue 5
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Improved sheep flock heredity algorithm and artificial bee colony algorithm for scheduling m-machine flow shops lot streaming with equal size sub-lot problems

G.Vijay ChakaravarthyDepartment of Mechanical Engineering, Fatima Michael College of Engineering & Technology, Madurai, India
,
S. MarimuthuDepartment of Mechanical Engineering, Latha Mathavan Engineering College, Madurai, India
,
S.G. PonnambalamSchool of Engineering, Monash University, Selangor, MalaysiaCorrespondence[email protected]
&
G. KanagarajDepartment of Mechanical Engineering, Thiagarajar College of Engineering, Madurai, India
Pages 1509-1527 | Received 23 Apr 2012, Accepted 12 Aug 2013, Published online: 23 Oct 2013

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Guiliang Gong, Raymond Chiong, Qianwang Deng & Xuran Gong. (2020) A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility. International Journal of Production Research 58:14, pages 4406-4420.
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Articles from other publishers (19)

Junhao Qiu, Jianjun Liu, Chengfeng Peng & Qingxin Chen. (2024) A novel predictive–reactive scheduling method for parallel batch processor lot-sizing and scheduling with sequence-dependent setup time. Computers & Industrial Engineering 189, pages 109985.
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Yingying Zhu, Qiuhua Tang, Liping Zhang, Ming He & Jerry Kapenda. (2023) Improved multi-objective artificial bee colony algorithm for parallel machine lot-streaming scheduling problem with limited and unequal sub-lots. Computers & Industrial Engineering 183, pages 109428.
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Lele Li. (2022) Research on discrete intelligent workshop lot-streaming scheduling with variable sublots under engineer to order. Computers & Industrial Engineering 165, pages 107928.
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Wenyan Wang, Zhenhao Xu & Xingsheng Gu. (2022) A two-stage discrete water wave optimization algorithm for the flowshop lot-streaming scheduling problem with intermingling and variable lot sizes. Knowledge-Based Systems 238, pages 107874.
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Deming Lei & Jingcao Cai. (2020) Multi-population meta-heuristics for production scheduling: A survey. Swarm and Evolutionary Computation 58, pages 100739.
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Jun-qing Li, Xin-rui Tao, Bao-xian Jia, Yu-yan Han, Chuang Liu, Peng Duan, Zhi-xin Zheng & Hong-yan Sang. (2020) Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots. Swarm and Evolutionary Computation 52, pages 100600.
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Mingjiang Shi, Dongmei Huang, Mengfei Zhang, Zhiqiang Huang & Shun Guo. (2020) Study on Optimization Parameters of Solid-Liquid Separator. IEEE Access 8, pages 85051-85066.
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R. Kamalakanannan, S. Arun, G. Dhinesh, M. Rajaganesh & Kaja Bantha Navas. A lot streaming based flow shop scheduling using particle swarm optimization. A lot streaming based flow shop scheduling using particle swarm optimization.
R. Kamalakannan, M. Shunmugasundaram, R. Nagaraj, D. Aravindhan & S. Mohammed Thouffic. 2020. Advances in Lightweight Materials and Structures. Advances in Lightweight Materials and Structures 817 827 .
M. K. Marichelvam, Ömür Tosun & M. Geetha. 2020. Nature-Inspired Computation in Navigation and Routing Problems. Nature-Inspired Computation in Navigation and Routing Problems 103 126 .
Wei Qin, Zilong Zhuang, Yang Liu & Ou Tang. (2019) A two-stage ant colony algorithm for hybrid flow shop scheduling with lot sizing and calendar constraints in printed circuit board assembly. Computers & Industrial Engineering 138, pages 106115.
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Hai-yan Wang, Fu Zhao, Hui-min Gao & John W. Sutherland. (2019) A three-stage method with efficient calculation for lot streaming flow-shop scheduling. Frontiers of Information Technology & Electronic Engineering 20:7, pages 1002-1020.
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Hong-Yan Sang, Quan-Ke Pan, Jun-Qing Li, Ping Wang, Yu-Yan Han, Kai-Zhou Gao & Peng Duan. (2019) Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion. Swarm and Evolutionary Computation 44, pages 64-73.
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Choo Jun Tan, Siew Chin Neoh, Chee Peng Lim, Samer Hanoun, Wai Peng Wong, Chu Kong Loo, Li Zhang & Saeid Nahavandi. (2017) Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. Journal of Intelligent Manufacturing 30:2, pages 879-890.
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Shenghan Zhou, Xingxing Xu, Zhenzhong Xu, Wenbing Chang & Yiyong Xiao. (2019) Fractional order Modeling and Fuzzy Clustering of Improved Artificial Bee Colony Algorithms. IEEE Transactions on Industrial Informatics, pages 1-1.
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Yuyan Han, Jun-Qing Li, Dunwei Gong & Hongyan Sang. (2019) Multi-Objective Migrating Birds Optimization Algorithm for Stochastic Lot-Streaming Flow Shop Scheduling With Blocking. IEEE Access 7, pages 5946-5962.
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Nikolaos E. Karkalos, Angelos P. Markopoulos & J. Paulo DavimNikolaos E. Karkalos, Angelos P. Markopoulos & J. Paulo Davim. 2019. Computational Methods for Application in Industry 4.0. Computational Methods for Application in Industry 4.0 11 31 .
Hong-Yan Sang, Quan-Ke Pan, Pei-Yong Duan & Jun-Qing Li. (2015) An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems. Journal of Intelligent Manufacturing 29:6, pages 1337-1349.
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Yuyan Han, Junqing Li, Hongyan Sang, Tian Tian, Yun Bao & Qun Sun. 2018. Intelligent Computing Theories and Application. Intelligent Computing Theories and Application 780 791 .

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