A Modified Simulated Kalman Filter Optimizer with State Measurement, Substitution Mutation, Hamming Distance Calculation, and 2-Opt Operator

• Main Authors: Suhazri Amrin, Rahmad, Zuwairie, Ibrahim, Zulkifli, Md. Yusof
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2021
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/33311/1/A%20Modified%20Simulated%20Kalman%20Filter%20Optimizer%20with%20State.pdf; http://umpir.ump.edu.my/id/eprint/33311/2/A%20Modified%20Simulated%20Kalman%20Filter%20Optimizer%20with%20State%20Measurement.pdf; http://umpir.ump.edu.my/id/eprint/33311/; https://doi.org/10.1109/SCOReD53546.2021.9652702

The simulated Kalman filter (SKF) is an algorithm for population-based optimization based on the Kalman filter framework. Each agent in SKF is treated as a Kalman filter. To find the global optimum, the SKF employs a Kalman filter mechanism that includes prediction, measurement, and estimate. Howeve...