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- Title
A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning.
- Authors
Prayogo, Doddy; Cheng, Min-Yuan; Wu, Yu-Wei; Redi, A. A. N. Perwira; Yu, Vincent F.; Persada, Satria Fadil; Nadlifatin, Reny
- 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 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.
- Subjects
METAHEURISTIC algorithms; CONSTRUCTION management; INDUSTRIAL efficiency; BUILDING sites; BUILDING site planning; PROCESS optimization
- Publication
Algorithms, 2020, Vol 13, Issue 5, p117
- ISSN
1999-4893
- Publication type
Article
- DOI
10.3390/a13050117