An objective decomposing method based on IBMDC for solving complex production scheduling problem

Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Volumn 3, Issue , 2002, Pages 1676-1679

  Liu, Min ^a   Dong, Ming Yu ^a   Wu, Cheng ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Complex production line; Objective decomposition; Rule extraction; Scheduling

Indexed keywords

ALGORITHMS; ASSEMBLY; AUTONOMOUS AGENTS; COMPUTER SIMULATION; FUZZY SETS; HEURISTIC METHODS; INTELLIGENT AGENTS; NEURAL NETWORKS; OPTIMIZATION;

COMPLEX SCHEDULING PROBLEM; INTELLIGENT METHOD BASED ON MULTI-LEVEL DECOMPOSING AND COORDINATION; OBJECTIVE DECOMPOSITION; RULE EXTRACTION;

SCHEDULING;

EID: 0036921288     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Liu Min, Wu Cheng. A intelligent method for complex production line scheduling problem based on multi-level, decomposing, and coordination. Knowledge-Based system (submitted).
2. Maria Caridi, Andrea Sianesi. Multi-agent systems in production planning and control: An application to the scheduling of mixed-production assembly lines. International journal of Production Economics, 2000, 68: 29-42
3. A.D. Baker. Case study results with the market-driven contract net production planning and control system. AUTOFACT, 1992, 31: 17-35
4. S.M. Mohiddin, T.S. Dillon. Evidential reasoning neural networks
5. LiMin Fu. Rule Generation from Neural Networks. IEEE Transactions on systems, man, and cybernetics. 1994, 24(8): 1114-1124
6. HUANG Yuan, XIAO Rong, ZHANG Fu-Yan. An approach to rule extraction of neural networks. Journal of Computer Research & Development. 1999, 9, 36(9): 1086-1091
7. XIONG Xiong, WANG De-xin, SONG Yi-min. Effective data mining based fuzzy neural networks. Journal of Systems Engineering, 2000, 3, 15(1):32-37