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《中国化学工程学报(英文版)》 2012-06
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A Discrete Artificial Bee Colony Algorithm for Minimizing the Total Flow Time in the Blocking Flow Shop Scheduling

DENG Guanlong, XU Zhenhao and GU Xingsheng** Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China  
A discrete artificial bee colony algorithm is proposed for solving the blocking flow shop scheduling problem with total flow time criterion. Firstly, the solution in the algorithm is represented as job permutation. Secondly, an initialization scheme based on a variant of the NEH (Nawaz-Enscore-Ham) heuristic and a local search is designed to construct the initial population with both quality and diversity. Thirdly, based on the idea of iterated greedy algorithm, some newly designed schemes for employed bee, onlooker bee and scout bee are presented. The performance of the proposed algorithm is tested on the well-known Taillard benchmark set, and the computational results demonstrate the effectiveness of the discrete artificial bee colony algorithm. In addition, the best known solutions of the benchmark set are provided for the blocking flow shop scheduling problem with total flow time criterion.
【Fund】: Supported by the National Natural Science Foundation of China (61174040 61104178);; the Fundamental Research Funds for the Central Universities
【CateGory Index】: TQ086;TP18
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【Co-citations】
Chinese Journal Full-text Database 2 Hits
1 NI Dong-mei;ZHAO Qiu-hong;LI Hai-bin;School of Economics and Management,Beihang University;;Synthesized model for demand forecasting and its integration with inventory decision[J];Journal of Management Sciences in China;2013-09
2 CHEN Ping1,2,HUANG Hou-kuan3,DONG Xing-ye3(1.Department of Logistics Management,TEDA College,Nankai University,Tianjin 300457,China.2.Modern Logistics Research Center, Nankai University,Tianjin 300071,China;3.School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China);Variable Neighborhood Search Algorithm for Fleet Size and Mixed Vehicle Routing Problem[J];Journal of System Simulation;2011-09
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