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Embedding Ensemble ...
Embedding Ensemble Learning into Construction Optimisation : A Computational Reduction Approach
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- Feng, Kailun, 1991- (författare)
- Luleå tekniska universitet,Industriellt och hållbart byggande
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- Lu, Weizhuo (författare)
- Luleå tekniska universitet,Industriellt och hållbart byggande,Arkitektur och vatten
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- Chen, Shiwei (författare)
- Luleå tekniska universitet,Byggkonstruktion och brand
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visa fler...
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- Wang, Shuo (författare)
- Department of Construction Management, Harbin Institute of Technology
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- Yang, Bin (författare)
- Department of Applied Physics and Electronics, Umeå University
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- Sun, Chengshuang (författare)
- Beijing University of Civil Engineering and Architecture
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- Wang, Yaowu (författare)
- Department of Construction Management, Harbin Institute of Technology
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visa färre...
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(creator_code:org_t)
- Elsevier, 2020
- 2020
- Engelska.
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- Simulation-based optimisation (SO), which combines simulation and optimisation technologies, is a popular approach for construction planning optimisation. However, in the framework of SO, the simulation is continuously invoked during the optimisation trajectory, which increases the computing loads to levels that are unrealistic to support the real-time construction decision. This study proposes ensemble learning embedded simulation optimisation (ESO) as an alternative approach for construction optimisation. The ensemble learning (EL) algorithm modifies the SO framework through establishing a connection between the simulation and optimisation technologies. This approach reduces the computing loads associated with the conventional SO framework by accurately learning from simulations and providing efficient fitness evaluations for optimisation. A large-scale project application shows that the proposed approach was able to reduce the computing loads of SO by approximately 90% yet still provide comparable optimisation quality. The proposed method is an alternative approach to SO that can be run on standard computing platforms and supports nearly real-time optimisation decisions.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Byggproduktion (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Construction Management (hsv//eng)
Nyckelord
- Ensemble learning
- Construction simulation
- Decision optimisation
- Construction method
- Byggproduktion och teknik
- Construction Management and Building Technology
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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