Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. This new algorithm is inspired by the estimation capability of the Kalman Filter. In principle, state estimation problem is regarded as an optimization problem, and each age...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Advanced Science Letters
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/12020/ http://umpir.ump.edu.my/id/eprint/12020/1/Simulated%20Kalman%20Filter-%20A%20Novel%20Estimation-based%20Metaheuristic%20Optimization%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/12020/7/Simulated%20Kalman%20Filter-%20A%20Novel%20Estimation-based%20Metaheuristic%20Optimization%20Algorithm-%20abstract.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/12020/http://umpir.ump.edu.my/id/eprint/12020/1/Simulated%20Kalman%20Filter-%20A%20Novel%20Estimation-based%20Metaheuristic%20Optimization%20Algorithm.pdf
http://umpir.ump.edu.my/id/eprint/12020/7/Simulated%20Kalman%20Filter-%20A%20Novel%20Estimation-based%20Metaheuristic%20Optimization%20Algorithm-%20abstract.pdf