Surveying the performance of four meta-heuristic optimization algorithm in weight optimization of truss structures
Publish place: 13th International Industrial Engineering Conference
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 509
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
IIEC13_135
تاریخ نمایه سازی: 14 شهریور 1396
Abstract:
Optimization is considered as an art to discover the best solution among the available ones. Meta-heuristic algorithms are one type of the random algorithms used for finding the optimized solutions. Since the simplicity of the concepts and the acceptable performance in a wide range of issues, this group of algorithms has lately been the center of concentrations. The present study investigates and compares the meta-heuristic optimization algorithms such as artificial bee colony (ABC), gravitational search algorithm (GSA), genetics (GA), and firefly algorithms (FA) for truss structures with a focus on its weight optimization.
Keywords:
Authors
Babak Dizangian
Assistant Professor, Department of civil Engineering, Faculty of Engineering Velayat University, Iranshahr, Iran
Mohammad Mazhari
M.Sc. student, Department of civil Engineering, Faculty of Engineering Hatef university, Zahedan, Iran