Cuckoo search algorithm for construction site layout planning

Meilinda Fitriani Nur Maghfiroh, Anak Agung Ngurah Perwira Redi, Janice Ong, Muhamad Rausyan Fikri

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)851-860
Number of pages10
JournalIAES International Journal of Artificial Intelligence
Volume12
Issue number2
DOIs
Publication statusPublished - Jun 2023
Publication typeA1 Journal article-refereed

Keywords

  • Construction site layout planning
  • Cuckoo search algorithm
  • Metaheuristics
  • Optimization

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems and Management
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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