Oppositional learning prediction operator with jumping rate for simulated kalman filter
Simulated Kalman filter (SKF) is among the new generation of metaheuristic optimization algorithm established in 2015. In this study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional lea...
| Những tác giả chính: | , , , , , |
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| Định dạng: | Conference or Workshop Item |
| Ngôn ngữ: | English English |
| Được phát hành: |
IEEE
2019
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://umpir.ump.edu.my/id/eprint/25147/1/43.%20Oppositional%20learning%20prediction%20operator%20with%20jumping%20rate.pdf http://umpir.ump.edu.my/id/eprint/25147/2/43.1%20Oppositional%20learning%20prediction%20operator%20with%20jumping%20rate.pdf |