-
3
-
-
77953061609
-
The application and research of a simulation-based streamline balance method
-
Qiong Z., Xue-Fang C., shi-Yong T., Jie Z., The application and research of a simulation-based streamline balance method. Industrial Engineering and Management 2008 13 4 110 113
-
(2008)
Industrial Engineering and Management
, vol.13
, Issue.4
, pp. 110-113
-
-
Qiong, Z.1
Xue-Fang, C.2
Shi-Yong, T.3
Jie, Z.4
-
4
-
-
33750382543
-
Pareto archive multi-objective particle swarm optimization
-
2-s2.0-33750382543
-
Lei D.-M., Wu Z.-M., Pareto archive multi-objective particle swarm optimization. Pattern Recognition and Artificial Intelligence 2006 19 4 475 480 2-s2.0-33750382543
-
(2006)
Pattern Recognition and Artificial Intelligence
, vol.19
, Issue.4
, pp. 475-480
-
-
Lei, D.-M.1
Wu, Z.-M.2
-
5
-
-
38149089515
-
Guiding ACO by problem relaxation: A case study on the symmetric TSP
-
Springer Lecture Notes in Computer Science 10.1007/978-3-540-75514-2-4
-
Reimann M., Guiding ACO by problem relaxation: a case study on the symmetric TSP. Hybrid Metaheuristics 2007 4771 Springer 45 56 Lecture Notes in Computer Science 10.1007/978-3-540-75514-2-4
-
(2007)
Hybrid Metaheuristics
, vol.4771
, pp. 45-56
-
-
Reimann, M.1
-
6
-
-
84974715969
-
Applying population based ACO to dynamic optimization problems
-
Springer Lecture Notes in Computer Science 10.1007/3-540-45724-0-10
-
Guntsch M., Martin M., Applying population based ACO to dynamic optimization problems. Ant Algorithms 2002 2463 Springer 111 122 Lecture Notes in Computer Science 10.1007/3-540-45724-0-10
-
(2002)
Ant Algorithms
, vol.2463
, pp. 111-122
-
-
Guntsch, M.1
Martin, M.2
-
8
-
-
18744400521
-
Application of particle swarm optimization in the job-shop scheduling problem
-
2-s2.0-18744400521
-
Xia W.-J., Wu Z.-M., Zhang W., Yang G.-K., Application of particle swarm optimization in the job-shop scheduling problem. Journal of Shanghai Jiaotong University 2005 39 3 381 385 2-s2.0-18744400521
-
(2005)
Journal of Shanghai Jiaotong University
, vol.39
, Issue.3
, pp. 381-385
-
-
Xia, W.-J.1
Wu, Z.-M.2
Zhang, W.3
Yang, G.-K.4
-
11
-
-
84891820999
-
The application of program analysis method in streamline balance
-
Gao G.-Z., Sun J.-H., The application of program analysis method in streamline balance. Machinery Design and Manufacture 2007 7 204 206
-
(2007)
Machinery Design and Manufacture
, vol.7
, pp. 204-206
-
-
Gao, G.-Z.1
Sun, J.-H.2
-
12
-
-
84901022353
-
The application of Ant colony algorithm in assembly line balancing problem
-
Chen J.-X., Zhang Q.-S., The application of Ant colony algorithm in assembly line balancing problem. The Computer Age 2008 12 20 22
-
(2008)
The Computer Age
, vol.12
, pp. 20-22
-
-
Chen, J.-X.1
Zhang, Q.-S.2
-
14
-
-
5644231004
-
A guaranteed global convergence particle swarm optimizer
-
2-s2.0-5644231004 ZBL1103.68677
-
Zeng J.-C., Cui Z.-H., A guaranteed global convergence particle swarm optimizer. Journal of Computer Research and Development 2004 41 8 1333 1338 2-s2.0-5644231004 ZBL1103.68677
-
(2004)
Journal of Computer Research and Development
, vol.41
, Issue.8
, pp. 1333-1338
-
-
Zeng, J.-C.1
Cui, Z.-H.2
-
15
-
-
0001008727
-
Unifying the theory and practice of production scheduling
-
2-s2.0-0001008727 10.1016/S0278-6125(00)86628-5
-
McKay K. N., Unifying the theory and practice of production scheduling. Journal of Manufacturing Systems 1999 18 4 241 255 2-s2.0-0001008727 10.1016/S0278-6125(00)86628-5
-
(1999)
Journal of Manufacturing Systems
, vol.18
, Issue.4
, pp. 241-255
-
-
McKay, K.N.1
-
17
-
-
84901066167
-
Multi-line optimal scheduling research based on PSOGA hybrid optimization algorithm
-
Fang Q.-J., Chen Y., Zhuang W., Lu J.-X., Multi-line optimal scheduling research based on PSOGA hybrid optimization algorithm. Modern Manufacturing Engineering 2012 5, article 008
-
(2012)
Modern Manufacturing Engineering
, vol.5008
-
-
Fang, Q.-J.1
Chen, Y.2
Zhuang, W.3
Lu, J.-X.4
-
20
-
-
77956163497
-
An intelligent ACO-SA approach for short term electricity load prediction
-
Springer Lecture Notes in Computer Science 10.1007/978-3-642-14932-0-77
-
Ghanbari A., Esmaeil H., Salman A.-N., An intelligent ACO-SA approach for short term electricity load prediction. Advanced Intelligent Computing Theories and Applications, With Aspects of Artificial Intelligence 2010 6216 Springer 623 633 Lecture Notes in Computer Science 10.1007/978-3-642-14932-0-77
-
(2010)
Advanced Intelligent Computing Theories and Applications, with Aspects of Artificial Intelligence
, vol.6216
, pp. 623-633
-
-
Ghanbari, A.1
Esmaeil, H.2
Salman, A.-N.3
-
21
-
-
84901064449
-
Scheduling optimization of mixed model assembly lines with hybrid particle swarm optimization algorithm
-
Lin X.-L., Li A.-P., Chen B.-S., Scheduling optimization of mixed model assembly lines with hybrid particle swarm optimization algorithm. Industrial Engineering and Management 2006 11 1 53 57
-
(2006)
Industrial Engineering and Management
, vol.11
, Issue.1
, pp. 53-57
-
-
Lin, X.-L.1
Li, A.-P.2
Chen, B.-S.3
-
22
-
-
36049045994
-
Application of particle swarm optimization with adaptive mutation to job shop scheduling problem and its software implementation
-
Na J., Application of particle swarm optimization with adaptive mutation to job shop scheduling problem and its software implementation. Information and Control 2005 34 3 365 368
-
(2005)
Information and Control
, vol.34
, Issue.3
, pp. 365-368
-
-
Na, J.1
-
24
-
-
70349397093
-
Multi-objective optimization method research on flexible job shop scheduling problem
-
2-s2.0-70349397093
-
Wei W., Tan J.-R., Feng Y.-X., Zhang R., Multi-objective optimization method research on flexible job shop scheduling problem. Computer Integrated Manufacturing Systems 2009 15 8 1592 1598 2-s2.0-70349397093
-
(2009)
Computer Integrated Manufacturing Systems
, vol.15
, Issue.8
, pp. 1592-1598
-
-
Wei, W.1
Tan, J.-R.2
Feng, Y.-X.3
Zhang, R.4
-
25
-
-
84881439963
-
Parameter identification of anaerobic wastewater treatment bioprocesses using particle swarm optimization
-
10.1155/2013/103748 103748 MR3080148
-
Sendrescu D., Parameter identification of anaerobic wastewater treatment bioprocesses using particle swarm optimization. Mathematical Problems in Engineering 2013 2013 8 10.1155/2013/103748 103748 MR3080148
-
(2013)
Mathematical Problems in Engineering
, vol.2013
, pp. 8
-
-
Sendrescu, D.1
-
26
-
-
84874123139
-
Path planning for mobile objects in four-dimension based on particle swarm optimization method with penalty function
-
613964 10.1155/2013/613964
-
Ma Y., Zamirian M., Yang Y., Xu Y., Zhang J., Path planning for mobile objects in four-dimension based on particle swarm optimization method with penalty function. Mathematical Problems in Engineering 2013 2013 9 613964 10.1155/2013/613964
-
(2013)
Mathematical Problems in Engineering
, vol.2013
, pp. 9
-
-
Ma, Y.1
Zamirian, M.2
Yang, Y.3
Xu, Y.4
Zhang, J.5
-
28
-
-
84874145374
-
Accelerated particle swarm for optimum design of frame structures
-
649857 10.1155/2013/649857
-
Talatahari S., Khalili E., Alavizadeh S. M., Accelerated particle swarm for optimum design of frame structures. Mathematical Problems in Engineering 2013 2013 6 649857 10.1155/2013/649857
-
(2013)
Mathematical Problems in Engineering
, vol.2013
, pp. 6
-
-
Talatahari, S.1
Khalili, E.2
Alavizadeh, S.M.3
-
29
-
-
84859767957
-
A modified PSO algorithm for minimizing the total costs of resources in MRCPSP
-
2-s2.0-84859767957 10.1155/2012/365697 365697 ZBL1264.90092
-
Khalilzadeh M., Kianfar F., Shirzadeh Chaleshtari A., Shadrokh S., Ranjbar M., A modified PSO algorithm for minimizing the total costs of resources in MRCPSP. Mathematical Problems in Engineering 2012 2012 18 2-s2.0-84859767957 10.1155/2012/365697 365697 ZBL1264.90092
-
(2012)
Mathematical Problems in Engineering
, vol.2012
, pp. 18
-
-
Khalilzadeh, M.1
Kianfar, F.2
Shirzadeh Chaleshtari, A.3
Shadrokh, S.4
Ranjbar, M.5
-
30
-
-
79952719661
-
The research into the problems of assembly line balance
-
Du Y.-P., Yang Y.-X., The research into the problems of assembly line balance. Machinery Design and Manufacture 2003 2 104 106
-
(2003)
Machinery Design and Manufacture
, vol.2
, pp. 104-106
-
-
Du, Y.-P.1
Yang, Y.-X.2
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