Guided chemotaxis-based bacterial colony algorithm for three-echelon supply chain optimisation
文献类型：期刊论文
| 作者 | Niu, Ben1,2,3; Chan, Felix T. S.2; Xie, Ting1; Liu, Yanmin4 |
| 刊名 | INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
 |
| 出版日期 | 2016 |
| 卷号 | 30期号:2-3页码:305-319 |
| 关键词 | Three-echelon Supply Chain Optimisation Bacterial Colony Algorithm |
| DOI | 10.1080/0951192X.2016.1145809 |
| 文献子类 | Article |
| 英文摘要 | On the base of the existing research study, a multi-period, multi-product, multi-supplier, single-manufacture, and multi-distributor supply chain model is considered in the paper. In the three-echelon model, a variety of decision-making activities involved in the procurement, production and distribution process are integrated at the operational level, giving rise to the non-deterministic polynomial-time hard computational complexity for model optimisation. For tackling the difficult model, this paper proposes a new optimisation method called guided chemotaxis-based bacterial colony algorithm, characterised by centre learning communication mechanism. More specifically, centre learning communication mechanism, where all the bacteria are enforced to learn towards the centre position of the swarm, is designed for the global exploration ability of algorithm. Chemotaxis, which guides the bacterium to fine-tune the solution in an increasingly favourable fitness landscape, is used to enhance the local exploitation ability of algorithm. Numerical experiments on a variety of simulated scenarios show the effectiveness and efficiency of the proposed algorithm in terms of both quality solution and computational time, by comparing it with some existing state-of-the-art solution approaches. |
| WOS关键词 | PARTICLE SWARM OPTIMIZATION ; GENETIC ALGORITHM ; ALLOCATION PROBLEM ; NETWORK DESIGN ; MODELS ; CHARGE |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000390883300006 |
| 资助机构 | Natural Science Foundation of China(71271140 ; Natural Science Foundation of China(71271140 ; Natural Science Foundation of China(71271140 ; Natural Science Foundation of China(71271140 ; Hong Kong Scholars Program(G-YZ24) ; Hong Kong Scholars Program(G-YZ24) ; Hong Kong Scholars Program(G-YZ24) ; Hong Kong Scholars Program(G-YZ24) ; 71471158 ; 71471158 ; 71471158 ; 71471158 ; 71001072 ; 71001072 ; 71001072 ; 71001072 ; 71461027) ; 71461027) ; 71461027) ; 71461027) ; Natural Science Foundation of China(71271140 ; Natural Science Foundation of China(71271140 ; Natural Science Foundation of China(71271140 ; Natural Science Foundation of China(71271140 ; Hong Kong Scholars Program(G-YZ24) ; Hong Kong Scholars Program(G-YZ24) ; Hong Kong Scholars Program(G-YZ24) ; Hong Kong Scholars Program(G-YZ24) ; 71471158 ; 71471158 ; 71471158 ; 71471158 ; 71001072 ; 71001072 ; 71001072 ; 71001072 ; 71461027) ; 71461027) ; 71461027) ; 71461027) |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/30592]  |
| 专题 | 合肥物质科学研究院_中科院合肥智能机械研究所 |
| 作者单位 | 1.Shenzhen Univ, Coll Management, Shenzhen, Peoples R China 2.Hong Kong Polytech Univ, Dept Ind & Syst Engn, Kowloon, Hong Kong, Peoples R China 3.Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei, Peoples R China 4.Zunyi Normal Coll, Sch Math & Comp Sci, Zunyi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Niu, Ben,Chan, Felix T. S.,Xie, Ting,et al. Guided chemotaxis-based bacterial colony algorithm for three-echelon supply chain optimisation[J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING,2016,30(2-3):305-319. |
| APA | Niu, Ben,Chan, Felix T. S.,Xie, Ting,&Liu, Yanmin.(2016).Guided chemotaxis-based bacterial colony algorithm for three-echelon supply chain optimisation.INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING,30(2-3),305-319. |
| MLA | Niu, Ben,et al."Guided chemotaxis-based bacterial colony algorithm for three-echelon supply chain optimisation".INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 30.2-3(2016):305-319. |
入库方式： OAI收割
来源：合肥物质科学研究院
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