Opposition-based learning simulated kalman filter for Numerical optimization problems
Simulated Kalman Filter (SKF) optimization algorithm is a population-based optimizer operated mainly based on Kalman filtering. The SKF is however subjected to premature convergence problem. In this research, opposition-based learning is employed to solve the premature convergence problem in SKF. Th...
| Main Author: | |
|---|---|
| Format: | Research Book Profile |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/36251/ http://umpir.ump.edu.my/id/eprint/36251/1/Opposition-based%20learning%20simulated%20kalman%20filter%20for%20Numerical%20optimization%20problems.pdf |