Using neural network function approximation for optimal design of continuous-state parallel–series systems
- 31 March 2003
- journal article
- Published by Elsevier in Computers & Operations Research
- Vol. 30 (3) , 339-352
- https://doi.org/10.1016/s0305-0548(01)00100-9
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- A model for optimal design of multi-state parallel-series systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Generalized multi-state k-out-of-n:G systemsIEEE Transactions on Reliability, 2000
- Optimal system design considering maintenance and warrantyComputers & Operations Research, 1998
- Reliability optimization of series-parallel systems using a genetic algorithmIEEE Transactions on Reliability, 1996
- Large-scale 0–1 fuzzy goal programming and its application to reliability optimization problemComputers & Industrial Engineering, 1993
- An efficient approach for multiple criteria redundancy optimization problemsMicroelectronics Reliability, 1991
- A computational algorithm for solving 0‐1 goal programming with GUB structures and its application for optimization problems in system reliabilityElectronics and Communications in Japan (Part III: Fundamental Electronic Science), 1990
- Multistate reliability modelsJournal of Applied Probability, 1980
- Multivalued State Component SystemsThe Annals of Probability, 1979
- Coherent Systems with Multi-State ComponentsMathematics of Operations Research, 1978