1- School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16846- 13114, Iran
Abstract: (10056 Views)
This paper presents the chaotic variants of the particle swarm optimization-statistical regeneration mechanism (PSO-SRM). The nine chaotic maps named Chebyshev, Circle, Iterative, Logistic, Piecewise, Sine, Singer, Sinusoidal, and Tent are used to increase the performance of the PSO-SRM. These maps are utilized instead of the random number, which defines the solution generation method. The robustness and performance of these methods are tested in the three steel frame design problems, including the 1-bay 10-story steel frame, 3-bay 15-story steel frame, and 3-bay 24-story steel frame. The optimization results reveal that the applied chaotic maps improve the performance of the PSO-SRM.
Type of Study:
Research |
Subject:
Optimal design Received: 2023/08/18 | Accepted: 2023/10/18 | Published: 2023/10/18