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Article

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

1
Department of Civil Engineering, Petra Christian University, Jawa Timur 60236, Indonesia
2
Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
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Taiwan Construction Research Institute, Taipei 10607, Taiwan
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Department of Logistic Engineering, Universitas Pertamina, Jakarta 12220, Indonesia
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Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
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Department of Business Management, Institut Teknologi Sepuluh Nopember, Jawa Timur 60111, Indonesia
7
Department of Technology Management, Institut Teknologi Sepuluh Nopember, Jawa Timur 60111, Indonesia
*
Author to whom correspondence should be addressed.
Algorithms 2020, 13(5), 117; https://doi.org/10.3390/a13050117
Received: 28 March 2020 / Revised: 4 May 2020 / Accepted: 4 May 2020 / Published: 6 May 2020
(This article belongs to the Special Issue Optimization Algorithms for Allocation Problems)
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. View Full-Text
Keywords: algorithms; metaheuristic; optimization; symbiotic organisms search; construction; site layout planning algorithms; metaheuristic; optimization; symbiotic organisms search; construction; site layout planning
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MDPI and ACS Style

Prayogo, D.; Cheng, M.-Y.; Wu, Y.-W.; Redi, A.A.N.P.; Yu, V.F.; Persada, S.F.; Nadlifatin, R. A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning. Algorithms 2020, 13, 117. https://doi.org/10.3390/a13050117

AMA Style

Prayogo D, Cheng M-Y, Wu Y-W, Redi AANP, Yu VF, Persada SF, Nadlifatin R. A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning. Algorithms. 2020; 13(5):117. https://doi.org/10.3390/a13050117

Chicago/Turabian Style

Prayogo, Doddy; Cheng, Min-Yuan; Wu, Yu-Wei; Redi, A. A.N.P.; Yu, Vincent F.; Persada, Satria F.; Nadlifatin, Reny. 2020. "A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning" Algorithms 13, no. 5: 117. https://doi.org/10.3390/a13050117

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