A Modified Simulated Kalman Filter Optimizer with State Measurement, Substitution Mutation, Hamming Distance Calculation, and Swap Operator
The simulated Kalman filter (SKF) is an algorithm for population-based optimization based on the Kalman filter framework. Each agent in SKF is treated as a Kalman filter. The SKF utilizes a Kalman filter process that includes prediction, measurement, and estimation to determine the global optimum. H...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en en |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33307/1/A%20Modified%20Simulated%20Kalman%20Filter.pdf http://umpir.ump.edu.my/id/eprint/33307/2/A%20Modified%20Simulated%20Kalman%20Filter%201.pdf http://umpir.ump.edu.my/id/eprint/33307/ https://doi.org/10.1109/COSITE52651.2021.9649546 |
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