Wei-Hua Meng1This email address is being protected from spambots. You need JavaScript enabled to view it., Da-Jun Wang1, and Ya-Wei Ma2
1Gansu Institute of Architectural Design and Research Co., Ltd, Lanzhou 730030, China
2College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China
Received: February 19, 2024 Accepted: May 5, 2024 Publication Date: July 15, 2024
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Genetic algorithm with storage mechanism and adaptive cross mutation is proposed to solve the problem of difficulty in optimizing the prestress of string supported lattice shell structures. Firstly, storage mechanism strategy is introduced into genetic algorithm(GA) to sort the individuals in the population in real-time, fully utilizing the direction information and search state of the current population. Then, heuristic adaptive crossover strategy and non-uniform adaptive mutation strategy are introduced to achieve adaptive adjustment of crossover mutation probability factor, effectively avoiding the population from falling into local optimal solutions in the later stage of iteration. Test function simulation experiments and engineering case applications show that compared with IGA, GDOIGA and IMPGA, AMCGA has fewer iterations, stronger global search ability, and higher quality of optimal solutions. When it is applied in prestress optimization of chord supported lattice shell structures, it has higher optimization efficiency and better optimization effect.
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