Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
Optimal drilling path for printed circuit board is crucial in increasing productivity and reduce production costs. Single-solution Simulated Kalman Filter (ssSKF) is a new optimizer inspired by the Kalman filtering process. It uses only a single agent to solve optimization process by finding the est...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Book Section |
| Language: | English English |
| Published: |
Springer Singapore
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19729/ http://umpir.ump.edu.my/id/eprint/19729/ http://umpir.ump.edu.my/id/eprint/19729/ http://umpir.ump.edu.my/id/eprint/19729/1/Hidayati%20et%20al.%20-%20Single-solution%20Simulated%20Kalman%20Filter%20Algorithm%20for%20Routing%20in%20Printed%20Circuit%20Board%20Drilling%20Process%20Single-solutio.pdf http://umpir.ump.edu.my/id/eprint/19729/7/book57.1%20Single-solution%20simulated%20kalman%20filter%20algorithm%20for%20routing%20in%20printed%20circuit%20board%20drilling%20process.pdf |
| Summary: | Optimal drilling path for printed circuit board is crucial in increasing productivity and reduce production costs. Single-solution Simulated Kalman Filter (ssSKF) is a new optimizer inspired by the Kalman filtering process. It uses only a single agent to solve optimization process by finding the estimate of the optimal solution. Principally, ssSKF algorithm uses the standard Kalman filter framework, aided by a local neighborhood technique during its prediction step. This paper reveals the potential of ssSKF as a good routing method in printed circuit board (PCB) drilling process. Experimental results indicate that the ssSKF algorithm outperforms the existing methods in searching a good route to speed up a PCB drilling process. |
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