TY - GEN
T1 - A Diversity-Based Adaptive Synchronous-Asynchronous Switching Simulated Kalman Filter Optimizer
AU - Aziz, Nor Azlina Ab
AU - Aziz, Nor Hidayati Abdul
AU - Muhammad, Badaruddin
AU - Ibrahim, Zuwairie
AU - Mubin, Marizan
AU - Mokhtar, Norrima
AU - Mohamad, Mohd Saberi
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. Recent study found that the original SKF is subjected to premature convergence. Thus, synchronous and asynchronous mechanisms are combined in SKF to address the premature convergence problem in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. The decision to switch from synchronous to asynchronous or vice versa is made based on the information of the population. In this paper, population’s diversity is used as switching indicator. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed diversity-based adaptive switching synchronous-asynchronous SKF outperforms the original SKF significantly.
AB - The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. Recent study found that the original SKF is subjected to premature convergence. Thus, synchronous and asynchronous mechanisms are combined in SKF to address the premature convergence problem in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. The decision to switch from synchronous to asynchronous or vice versa is made based on the information of the population. In this paper, population’s diversity is used as switching indicator. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed diversity-based adaptive switching synchronous-asynchronous SKF outperforms the original SKF significantly.
KW - Asynchronous
KW - Simulated kalman filter
KW - Synchronous
UR - http://www.scopus.com/inward/record.url?scp=85083075819&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083075819&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-2317-5_11
DO - 10.1007/978-981-15-2317-5_11
M3 - Conference contribution
AN - SCOPUS:85083075819
SN - 9789811523168
T3 - Lecture Notes in Electrical Engineering
SP - 113
EP - 126
BT - InECCE 2019 - Proceedings of the 5th International Conference on Electrical, Control and Computer Engineering
A2 - Kasruddin Nasir, Ahmad Nor
A2 - Saari, Mohd Mawardi
A2 - Daud, Mohd Razali
A2 - Mohd Faudzi, Ahmad Afif
A2 - Ahmad, Mohd Ashraf
A2 - Najib, Muhammad Sharfi
A2 - Abdul Wahab, Yasmin
A2 - Othman, Nur Aqilah
A2 - Abd Ghani, Nor Maniha
A2 - Irawan, Addie
A2 - Khatun, Sabira
A2 - Raja Ismail, Raja Mohd Taufika
PB - Springer
T2 - 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019
Y2 - 29 July 2019 through 29 July 2019
ER -