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...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
Springer India
2018
|
| オンライン･アクセス: | 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/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|