Volume 12, Issue 4 (8-2022)                   IJOCE 2022, 12(4): 545-555 | Back to browse issues page

XML Print


Abstract:   (6739 Views)
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.
 
Full-Text [PDF 624 kb]   (2486 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2022/08/25 | Accepted: 2022/08/19 | Published: 2022/08/19

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.