Improved Wolf Pack Algorithm for Optimum Design of Truss Structures
محل انتشار: ژورنال مهندسی عمران، دوره: 6، شماره: 8
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 144
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شناسه ملی سند علمی:
JR_CEJ-6-8_001
تاریخ نمایه سازی: 28 تیر 1404
چکیده مقاله:
In order to find a more effective method in structural optimization, an improved wolf pack optimization algorithm was proposed. In the traditional wolf pack algorithm, the problem of falling into local optimum and low precision often occurs. Therefore, the adaptive step size search and Levy's flight strategy theory were employed to overcome the premature flaw of the basic wolf pack algorithm. Firstly, the reasonable change of the adaptive step size improved the fineness of the search and effectively accelerated the convergence speed. Secondly, the search strategy of Levy's flight was adopted to expand the search scope and improved the global search ability of the algorithm. At last, to verify the performance of improved wolf pack algorithm, it was tested through simulation experiments and actual cases, and compared with other algorithms. Experiments show that the improved wolf pack algorithm has better global optimization ability. This study provides a more effective solution to structural optimization problems.In order to find a more effective method in structural optimization, an improved wolf pack optimization algorithm was proposed. In the traditional wolf pack algorithm, the problem of falling into local optimum and low precision often occurs. Therefore, the adaptive step size search and Levy's flight strategy theory were employed to overcome the premature flaw of the basic wolf pack algorithm. Firstly, the reasonable change of the adaptive step size improved the fineness of the search and effectively accelerated the convergence speed. Secondly, the search strategy of Levy's flight was adopted to expand the search scope and improved the global search ability of the algorithm. At last, to verify the performance of improved wolf pack algorithm, it was tested through simulation experiments and actual cases, and compared with other algorithms. Experiments show that the improved wolf pack algorithm has better global optimization ability. This study provides a more effective solution to structural optimization problems.
کلیدواژه ها:
Wolf Pack Algorithm Improvement Adaptive Levy Flight Structural Optimization.
نویسندگان
Yan-Cang Li
Professor, College of Civil Engineering, Hebei University of engineering, Handan ۰۵۶۰۳۸,, China
Pei-Dong Xu
Graduate student of College of Civil Engineering, Hebei University of Engineering, Handan ۰۵۶۰۳۸,, China