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Dynamic Programming for Optimal Control of Set-Up Scheduling with Neural Network Modifications
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bradski, Gary |
| Copyright Year | 1991 |
| Abstract | This paper demonstrates an optimal control solution to change of machine set-up schedulmg based on dynamic programming average cost per stage value iteration as set forth by Cararnanis et. a!. [2] for the 2D case. The difficulty with the optimal approach lies in the explosive computational growth of the resulting solution. A method of reducing the computational complexity is developed using ideas from biology and neural networks. A real time controller is described that uses a linearlog representation of state space with neural networks employed to fit cost surfaces. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://open.bu.edu/bitstream/handle/2144/2082/92.002.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network Computation Computational complexity theory Dynamic programming Iteration Markov decision process Neural Network Simulation Optimal control Scheduling (computing) Scheduling - HL7 Publishing Domain State space |
| Content Type | Text |
| Resource Type | Article |
