TY - GEN
T1 - Reliability optimization allocation method based on improved dynamic particle swarm optimization
AU - Liang, Qihai
AU - Wang, Zhe
AU - Qu, Jinzhu
AU - Yi, Xiaojian
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Aiming at the reliability optimization allocation, the basic particle swarm optimization algorithm has the disadvantages of slow convergence and easy to fall into local extremum. This paper proposes an improved dynamic particle swarm optimization algorithm, which uses the extrapolation technique in mathematics to guide the evolution direction of particles. At the same time, the idea of transforming the multimodal function and dynamically adjusting the group size is introduced, and the elite set is used to preserve the optimal individual of each generation. Finally, this paper uses a certain type of sonar as an example to establish a reliability mathematical model, which uses the basic particle swarm optimization algorithm and the improved particle swarm optimization algorithm proposed in this paper. The results show that the proposed method has a stronger search ability, higher accuracy and better stability.
AB - Aiming at the reliability optimization allocation, the basic particle swarm optimization algorithm has the disadvantages of slow convergence and easy to fall into local extremum. This paper proposes an improved dynamic particle swarm optimization algorithm, which uses the extrapolation technique in mathematics to guide the evolution direction of particles. At the same time, the idea of transforming the multimodal function and dynamically adjusting the group size is introduced, and the elite set is used to preserve the optimal individual of each generation. Finally, this paper uses a certain type of sonar as an example to establish a reliability mathematical model, which uses the basic particle swarm optimization algorithm and the improved particle swarm optimization algorithm proposed in this paper. The results show that the proposed method has a stronger search ability, higher accuracy and better stability.
KW - Optimization allocation
KW - Reliability
KW - Swarm optimization algorithm
UR - http://www.scopus.com/inward/record.url?scp=85091513903&partnerID=8YFLogxK
U2 - 10.1109/SDPC.2019.00084
DO - 10.1109/SDPC.2019.00084
M3 - Conference contribution
AN - SCOPUS:85091513903
T3 - Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
SP - 429
EP - 434
BT - Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
A2 - Li, Chuan
A2 - Zhang, Shaohui
A2 - Long, Jianyu
A2 - Cabrera, Diego
A2 - Ding, Ping
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
Y2 - 15 August 2019 through 17 August 2019
ER -