A novel hybrid metaheuristic algorithm for optimization of construction management site layout planning
| Keyword | Algorithms; Construction; Metaheuristic; Optimization; Site layout planning; Symbiotic organisms search |
| Authors | Prayogo D., Cheng M.-Y., Wu Y.-W., Redi A.A.N.P., Yu V.F., Persada S.F., Nadlifatin R. |
| satria.fadil@binus.ac.id | |
| Published Year | 2020 |
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. © 2020 by the authors.