Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search

International Journal of Production Research

Volumn 40, Issue 1, 2002, Pages 71-92

  Chen, Mu Chen ^a   Yang, Taho ^b  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER AIDED MANUFACTURING; COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBLEM SOLVING; RANDOM PROCESSES; REGRESSION ANALYSIS; SIMULATED ANNEALING;

BACKPROPAGATION NEURAL NETWORKS; COMPLEX MANUFACTURING SYSTEMS; SIMULATED MANUFACTURING SYSTEMS;

SYSTEMS ANALYSIS;

EID: 0037050379     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540110073055     Document Type: Article

References (28)

1. A simulated annealing approach for optimization of multi-pass turning operations
2. Minimizing multimodal functions of continuous variables with the simulated annealing algorithm
3. Simulated annealing: A tool for operational research
4. n-m designs
5. The metamodel in simulation analysis: Can it be trusted?
6. A comparison of factorial and random experimental design methods for the development of regression and neural network simulation meta-models
7. CLASS: Computerized layout solutions using simulated annealing
8. Optimization by simulated annealing
9. Regression metamodels for generalizing simulation results
10. Experimental design for sensitivity analysis, optimization, and validation of simulation models
11. A survey of simulated annealing applications to operations research problems
12. A regression metamodel of a maintenance float problem with 2-Erlang failure distribution
13. Multiple response surface methods in computer simulation
14. Second-order response surface design in computer simulation
15. Experiments with new stochastic global optimization search methods
16. Distributed evolutionary algorithms for simulation optimization
17. Output maximization of a CIM system: Simulation and statistical approach
18. Multicriteria design and control of a cellular manufacturing system through simulation and optimization
19. Neural networks in applied statistics (with discussion)
20. Neural network procedures for experimental analysis with censored data
21. Job shop scheduling by simulated annealing
22. Metamodels in manufacturing: A review
23. Neural networks in business: A survey of applications (1992-1998)
24. Applications of neural networks in manufacturing: A-state-of-the-art survey