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...
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| Format: | Research Book Profile |
| Language: | English |
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2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/36251/1/Opposition-based%20learning%20simulated%20kalman%20filter%20for%20Numerical%20optimization%20problems.pdf |