A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning

• Main Authors: Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, A. A. N. Perwira Redi, Vincent F. Yu, Satria Fadil Persada, Reny Nadlifatin
• Format: Article
• Language: English
• Published: MDPI AG 2020-05-01
• Series: Algorithms
• Subjects: algorithms; metaheuristic; optimization; symbiotic organisms search; construction; site layout planning
• Online Access: https://www.mdpi.com/1999-4893/13/5/117

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 SOS-based 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.