Single-solution Simulated Kalman Filter algorithm for global optimisation problems
This paper introduces single-solution Simulated Kalman Filter (ssSKF), a new single-agent optimisation algorithm inspired by Kalman Filter, for solving real-valued numerical optimisation problems. In comparison, the proposed ssSKF algorithm supersedes the original population-based Simulated Kalman F...
| Main Authors: | Abdul Aziz, N.H., Ibrahim, Z., Ab Aziz, N.A., Mohamad, M.S., Watada, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20827 / |
| Published: |
Springer India
2018
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048753101&doi=10.1007%2fs12046-018-0888-9&partnerID=40&md5=c49a3b2e30fb4f046e00761c120deaeb http://eprints.utp.edu.my/20827/ |
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