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Charged System Search and Magnetic Charged System Search Algorithms for Construction Site Layout Planning Optimization

Kaveh, Ali ; Khanzadi, Mostafa ; Moghaddam, Mohammad Rasteghar ; Rezazadeh, Mohammad

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2018-01, Vol.62 (4), p.841 [Periódico revisado por pares]

Budapest: Periodica Polytechnica, Budapest University of Technology and Economics

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  • Título:
    Charged System Search and Magnetic Charged System Search Algorithms for Construction Site Layout Planning Optimization
  • Autor: Kaveh, Ali ; Khanzadi, Mostafa ; Moghaddam, Mohammad Rasteghar ; Rezazadeh, Mohammad
  • Assuntos: Algorithms ; Construction ; Construction industry ; Construction planning ; Construction sites ; Heuristic methods ; High rise buildings ; Layouts ; Modelling ; Particle swarm optimization ; Project engineering ; Search algorithms ; Security ; Site planning ; Uses
  • É parte de: Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2018-01, Vol.62 (4), p.841
  • Descrição: Construction site layout planning can be considered as an effort to place different temporary facilities in available site locations such that multiple objectives are satisfied as much as possible. With the extension of high-rise building construction and construction activities besides the lack of available spaces in construction sites, proper utilization of this resource has been highlighted because of its significant positive influences on direct cost, safety, and security of the site which consequently affects the total cost and schedule of the project. Thus the construction site layout planning is considered as one of the essential and important phases in construction projects. Site layout planning problem is an NP-Hard problem from the viewpoint of complexity. In this research, two prominent meta-heuristic algorithms, namely Charged System Search (CSS) and Magnetic Charged System Search (MCSS) are utilized to optimize the site layout planning problem. The obtained results of implementing these two algorithms for two different types of site space modeling are compared with the results of the Particle Swarm Optimization (PSO) algorithm and also those of the previous studies. The results illustrate the capability of the CSS and MCSS algorithms in solving the present problem.
  • Editor: Budapest: Periodica Polytechnica, Budapest University of Technology and Economics
  • Idioma: Inglês;Alemão;Russo
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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