Enhancing simulated kalman filter algorithm using current optimum opposition-based learning
Simulated Kalman filter (SKF) is a new population-based optimization algorithm inspired by estimation capability of Kalman filter. Each agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, the SKF includes prediction, measurement, and estimation process to search...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UMP
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24720/ http://umpir.ump.edu.my/id/eprint/24720/ http://umpir.ump.edu.my/id/eprint/24720/ http://umpir.ump.edu.my/id/eprint/24720/8/Enhancing%20simulated%20Kalman%20filter%20algorithm%20using%20current.pdf |