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: Md. Yusof, Zulkifli, Ibrahim, Zuwairie, Adam, Asrul, Mohd. Azmi, Kamil Zakwan, Ab. Rahman, Tasiransurini
Format: Article
Language:English
Published: Science Publishing Corporation Inc. 2018
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/86634/1/TasiransuriniAbRahman2018_DistanceEvaluatedSimulatedKalmanFilter.pdf
http://eprints.utm.my/id/eprint/86634/
http://dx.doi.org/10.14419/ijet.v7i4.27.22431
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/86634/1/TasiransuriniAbRahman2018_DistanceEvaluatedSimulatedKalmanFilter.pdf
http://eprints.utm.my/id/eprint/86634/
http://dx.doi.org/10.14419/ijet.v7i4.27.22431

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