Volume 14, Issue 4 (10-2024)
IJOCE 2024, 14(4): 595-607 |
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Tavakoli O, Sedaghat Shayegan D, Amirkardoust A. OPTIMIZATION OF TOWER CRANES AND SUPPLY POINTS LOCATION USING MBF ALGORITHM. IJOCE 2024; 14 (4) :595-607
URL: http://ijoce.iust.ac.ir/article-1-596-en.html
URL: http://ijoce.iust.ac.ir/article-1-596-en.html
1- Department of Civil Engineering, Islamic Azad University, Roudehen Branch, Tehran, Iran
Abstract: (1419 Views)
Tower cranes are essential for both vertical and horizontal movement of materials in construction and port operations. Optimizing their placement is crucial for reducing costs and enhancing overall efficiency. This study addresses the optimization of tower crane placement using the recently developed Mouth Brooding Fish (MBF) algorithm. The MBF algorithm is inspired by the life cycle of mouth-brooding fish, employing their behavioral patterns and the survival challenges of their offspring to find optimal solutions. The performance of the MBF algorithm is compared with the Genetic Algorithm (GA), Colliding Bodies Optimization (CBO), and Enhanced Colliding Bodies Optimization (ECBO). The results demonstrate that the MBF algorithm is effective and has potential advantages in tackling complex optimization problems.
Keywords: Tower cranes, Optimization, Mouth Brooding Fish, Enhanced Colliding Bodies Optimization (ECBO), Colliding Bodies Optimization (CBO), Supply points location, Construction.
Type of Study: Research |
Subject:
Optimal design
Received: 2024/06/8 | Accepted: 2024/09/23 | Published: 2024/10/16
Received: 2024/06/8 | Accepted: 2024/09/23 | Published: 2024/10/16
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