Paper Info
Title
A Novel Hybrid Metaheuristic Algorithm For Optimization Of Construction Management Site Layout Planning
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.
Year
DOI
Venue
2020
10.3390/a13050117
ALGORITHMS
Keywords
DocType
Volume
algorithms, metaheuristic, optimization, symbiotic organisms search, construction, site layout planning
Journal
13
Issue
Citations 
PageRank 
5
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Doddy Prayogo1644.66
Min-Yuan Cheng217419.84
Yu-Wei Wu3435.89
A. A. N. Perwira Redi4464.14
Vincent F. Yu542427.32
Satria Fadil Persada652.84
Reny Nadlifatin742.41