Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Simulated Kalman Filter (SKF) solves optimization problems by finding the estimate of the optimum solution. As a multi-agent algorithm, every agent in the population acts as a Kalman filter by using a standard Kalman filter framework, which includes a simulated measurement process and a best-so-far...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en en |
| Published: |
Springer, Singapore
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34329/1/Simulated%20kalman%20filter%20with%20modified%20measurement.pdf http://umpir.ump.edu.my/id/eprint/34329/7/Simulated%20Kalman%20Filter%20with%20Modified%20Measurement%2C%20Substitution%20Mutation.pdf http://umpir.ump.edu.my/id/eprint/34329/ https://doi.org/10.1007/978-981-19-2095-0_27 |
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Internet
http://umpir.ump.edu.my/id/eprint/34329/1/Simulated%20kalman%20filter%20with%20modified%20measurement.pdfhttp://umpir.ump.edu.my/id/eprint/34329/7/Simulated%20Kalman%20Filter%20with%20Modified%20Measurement%2C%20Substitution%20Mutation.pdf
http://umpir.ump.edu.my/id/eprint/34329/
https://doi.org/10.1007/978-981-19-2095-0_27
