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...
Saved in:
Main Authors: | Yusof, Zulkifli Md., Ibrahim, Zuwairie, Adam, Asrul, Azmi, Kamil Zakwan Mohd, Ab. Rahman, Tasiransurini, Muhammad, Badaruddin, Ab. Aziz, Nor Azlina, Abd Aziz, Nor Hidayati, Mokhtar, Norrima, Shapiai, Mohd Ibrahim, Muhammad, Mohd Saberi |
---|---|
Format: | Article |
Published: |
Science Publishing Corporation
2018
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/20230/ https://www.sciencepubco.com/index.php/ijet/article/view/22431 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Distance evaluated simulated kalman filter with state encoding for combinatorial optimization problems
by: Zuwairie, Ibrahim, et al.
Published: (2018) -
Distance evaluated simulated kalman filter with state encoding for combinatorial optimization problems
by: Md. Yusof, Zulkifli, et al.
Published: (2018) -
Distance Evaluated Simulated Kalman Filter for Combinatorial Optimization Problems
by: Zulkifli, Md. Yusof, et al.
Published: (2015) -
Distance evaluated simulated Kalman filter for combinatorial optimization problems
by: Md. Yusof, Zulkifli, et al.
Published: (2016) -
Local Optimum Distance Evaluated Simulated Kalman Filter For Combinatorial Optimization Problems
by: Zulkifli, Md. Yusof, et al.
Published: (2016)