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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Janice Ong
Sampoerna University
Computer Science & IT Engineering

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Cuckoo search algorithm for construction site layout planning Meilinda Fitriani Nur Maghfiroh; Anak Agung Ngurah Perwira Redi; Janice Ong; Muhamad Rausyan Fikri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i2.pp851-860

Abstract

A novel metaheuristic optimization algorithm based on cuckoo search algorithm (CSA) is presented to solve the construction site layout planning problem (CSLP). CSLP is a complex optimization problem with various applications, such as plant layout, construction site layout, and computer chip layout. Many researchers have investigated the CSLP by applying many algorithms in an exact or heuristic approach. Although both methods yield a promising result, technically, nature-inspired algorithms demonstrate high achievement in successful percentage. In the last two decades, researchers have been developing a new nature-inspired algorithm for solving different types of optimization problems. The CSA has gained popularity in resolving large and complex issues with promising results compared with other nature-inspired algorithms. However, for solving CSLP, the algorithm based on CSA is still minor. Thus, this study proposed CSA with additional modification in the algorithm mechanism, where the algorithm shows a promising result and can solve CSLP cases.
Co-Authors Anak Agung Ngurah Perwira Redi Meilinda Fitriani Nur Maghfiroh Muhamad Rausyan Fikri