Distance evaluated simulated kalman filter with state encoding for combinatorial optimization problems

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...

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Bibliographic Details
Main Authors: Zuwairie, Ibrahim, Zulkifli, Md. Yusof, Asrul, Adam, Kamil Zakwan, Mohd Azmi, Tasiransurini, Ab Rahman, Badaruddin, Muhammad, Nor Azlina, Ab. Aziz, Norrima, Mokhtar, Mohd Ibrahim, Shapiai, Mohd Saberi, Mohamad
Format: Article
Language:English
English
Published: Science Publishing Corporation Inc. 2018
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
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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