دوره 12، شماره 4 - ( 5-1401 )
جلد 12 شماره 4 صفحات 555-545 |
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Sedaghat Shayegan D. OPTIMUM COST DESIGN OF REINFORCED CONCRETE SLABS USING A METAHEURISTIC ALGORITHM. IJOCE 2022; 12 (4) :545-555
URL: http://ijoce.iust.ac.ir/article-1-533-fa.html
URL: http://ijoce.iust.ac.ir/article-1-533-fa.html
OPTIMUM COST DESIGN OF REINFORCED CONCRETE SLABS USING A METAHEURISTIC ALGORITHM. عنوان نشریه. 1401; 12 (4) :545-555
چکیده: (9212 مشاهده)
In this article, the optimum design of a reinforced concrete solid slab is presented via an efficient hybrid metaheuristic algorithm that is recently developed. This algorithm utilizes the mouth-brooding fish (MBF) algorithm as the main engine and uses the favorable properties of the colliding bodies optimization (CBO) algorithm. The efficiency of this algorithm is compared with mouth-brooding fish (MBF), Neural Dynamic (ND), Cuckoo Search Optimization (COA) and Particle Swarm Optimization (PSO). The cost of the solid slab is considered to be the objective function, and the design is based on the ACI code. The numerical results indicate that this hybrid metaheuristic algorithm can to construct very promising results and has merits in solving challenging optimization problems.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Optimal design
دریافت: 1401/6/3 | پذیرش: 1401/5/28 | انتشار: 1401/5/28
دریافت: 1401/6/3 | پذیرش: 1401/5/28 | انتشار: 1401/5/28
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