en Optimal design Optimal design پژوهشي Research <span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.5pt"><span style="line-height:107%"><span new="" roman="" style="font-family:" times="">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.</span></span></span></span></span></span> Tower cranes, Optimization, Mouth Brooding Fish, Enhanced Colliding Bodies Optimization (ECBO), Colliding Bodies Optimization (CBO), Supply points location, Construction. 595 607 http://ijoce.iust.ac.ir/browse.php?a_code=A-10-6510-1&slc_lang=en&sid=1 O. Tavakoli otavakoli408@gmail.com 180031947532846002547 180031947532846002547 No Department of Civil Engineering, Islamic Azad University, Roudehen Branch, Tehran, Iran D. Sedaghat Shayegan da.sedaghat@iau.ac.ir 180031947532846002548 180031947532846002548 Yes Department of Civil Engineering, Islamic Azad University, Roudehen Branch, Tehran, Iran A. Amirkardoust Amirkardoost@yahoo.com 180031947532846002549 180031947532846002549 No Department of Civil Engineering, Islamic Azad University, Roudehen Branch, Tehran, Iran