Distance evaluated simulated kalman filter with state encoding for combinatorial optimization problems
Simulated Kalman Filter (SKF) is a population-based optimization algorithm which exploits the estimation capability of Kalman filter to search for a solution in a continuous search space. The SKF algorithm only capable to solve numerical optimization problems which involve continuous search space. S...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Science Publishing Corporation Inc.
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22970/ http://umpir.ump.edu.my/id/eprint/22970/ http://umpir.ump.edu.my/id/eprint/22970/1/79.%20Distance%20evaluated%20simulated%20kalman%20filter%20with%20state.pdf http://umpir.ump.edu.my/id/eprint/22970/2/79.1%20Distance%20evaluated%20simulated%20kalman%20filter%20with%20state.pdf |
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http://umpir.ump.edu.my/id/eprint/22970/1/79.%20Distance%20evaluated%20simulated%20kalman%20filter%20with%20state.pdf
http://umpir.ump.edu.my/id/eprint/22970/2/79.1%20Distance%20evaluated%20simulated%20kalman%20filter%20with%20state.pdf