دوره 5، شماره 1 - ( 10-1393 )
جلد 5 شماره 1 صفحات 102-79 |
برگشت به فهرست نسخه ها
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Liang J C, Li L J, He N. PERFORMANCE-BASED MULTI-OBJECTIVE OPTIMUM DESIGN FOR STEEL STRUCTURES WITH INTELLIGENCE ALGORITHMS. International Journal of Optimization in Civil Engineering 2015; 5 (1) :79-102
URL: http://ijoce.iust.ac.ir/article-1-200-fa.html
URL: http://ijoce.iust.ac.ir/article-1-200-fa.html
PERFORMANCE-BASED MULTI-OBJECTIVE OPTIMUM DESIGN FOR STEEL STRUCTURES WITH INTELLIGENCE ALGORITHMS. عنوان نشریه. 1393; 5 (1) :79-102
چکیده: (18262 مشاهده)
A multi-objective heuristic particle swarm optimiser (MOHPSO) based on Pareto multi-objective theory is proposed to solve multi-objective optimality problems. The optimality objectives are the roof displacement and structure weight. Two types of structure are analysed in this paper, a truss structure and a framework structure. Performance-based seismic analysis, such as classical and modal pushover analysis, is carried out for the structures. Four optimality algorithms, namely, NSGA-II, MOPSO, MGSO, and MOHPSO, were used for structural optimisation to compare the effectiveness of the algorithms. The calculation results indicate that MOHPSO outperformed the other algorithms in terms of solution stability, universality, and consistency of the distribution of the Pareto front and the ability to consider constraints. The population can converge to the true Pareto front in the latter generations, which indicates that MOHPSO is effective for engineering multi-objective optimality problems.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Optimal design
دریافت: 1393/10/12 | پذیرش: 1393/10/12 | انتشار: 1393/10/12
دریافت: 1393/10/12 | پذیرش: 1393/10/12 | انتشار: 1393/10/12
| بازنشر اطلاعات | |
 | این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
