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Article

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

by
Doddy Prayogo
1,2,
Min-Yuan Cheng
2,
Yu-Wei Wu
2,3,
A. A. N. Perwira Redi
4,*,
Vincent F. Yu
5,
Satria Fadil Persada
6 and
Reny Nadlifatin
7
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
3
Taiwan Construction Research Institute, Taipei 10607, Taiwan
4
Department of Logistic Engineering, Universitas Pertamina, Jakarta 12220, Indonesia
5
Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
6
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
Submission 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)
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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.
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, Min-Yuan Cheng, Yu-Wei Wu, A. A. N. Perwira Redi, Vincent F. Yu, Satria Fadil Persada, and Reny Nadlifatin. 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

APA Style

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

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