A novel hybrid metaheuristic algorithm for optimization of construction management site layout planning

Doddy Prayogo, Min Yuan Cheng, Yu Wei Wu, A. A.N.Perwira Redi*, Vincent F. Yu, Satria Fadil Persada, Reny Nadlifatin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Symbiotic organisms search (SOS) is a promising metaheuristic algorithm that has been studied recently by numerous researchers due to its capability to solve various hard and complex optimization problems. SOS is a powerful optimization technique that mimics the simulation of the typical symbiotic interactions among organisms in an ecosystem. This study presents a new SOSbased hybrid algorithm for solving the challenging construction site layout planning (CSLP) discrete problems. A new algorithm called the hybrid symbiotic organisms search with local operators (HSOS-LO) represents a combination of the canonical SOS and several local search mechanisms aimed at increasing the searching capability in discrete-based solution space. In this study, three CSLP problems that consist of single and multi-floor facility layout problems are tested, and the obtained results were compared with other widely used metaheuristic algorithms. The results indicate the robust performance of the HSOS-LO algorithm in handling discrete-based CSLP problems.

Original languageEnglish
Article number117
JournalAlgorithms
Volume13
Issue number5
DOIs
Publication statusPublished - 1 May 2020

Keywords

  • Algorithms
  • Construction
  • Metaheuristic
  • Optimization
  • Site layout planning
  • Symbiotic organisms search

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