Construction design based on particle group optimization algorithm
Author:
Affiliation:
1. Xinxiang Vocational and Technical College , Henan Xinxiang , 453000 , China
2. Department of ECE, Lovely Professional University , Punjab , India
3. Bakhtar University , Kabul , Afghanistan
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.degruyter.com/document/doi/10.1515/jisys-2021-0157/pdf
Reference39 articles.
1. Zeng L, Li J, Liu J, Guo R, Liu R. Efficient filter generation based on particles warm optimization algorithm. IEEE Access. 2021;99:1. 10.1109/ACCESS.2021.3056464.
2. Wu W, Zhou B, Liu Z, Wang J, Liu. G. Design of highly uniform magnetic field coils based on a particles warm optimization algorithm. IEEE Access. 2019;7(99):25310–125322. 10.1109/ACCESS.2019.2933608.
3. Jiang C, Fu J, Liu W. Research on vehicle routing planning based on adaptive ant colony and particle swarm optimization algorithm. Int J Intell Transp Syst Res. 2021;19(1):83–91. 10.1007/s13177-020-00224-3.
4. Nms A, Ah B. Particle swarm optimization in managing construction problems. Proc Comp Sci. 2019;154:260–6. 10.1016/j.procs.2019.06.039.
5. Jazayeri P, Moeini R. Construction cost minimization of the stepped spillway using improved particle swarm optimization and artificial bee colony algorithms. Water Environ J. 2020;34:468–80. 10.1111/wej.12548.
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