Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams

Zeng, Junwei; Wang, Li; Wang, Tingliang; Fan, Wenzhuo; Gao, Hui

doi:10.1109/ieem.2009.5373163

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Energies 2019, 12, 466 2 of 29 particle swarm optimization (HPSO), have been used to solve the optimization model [6][7][8]. However, these researches simplified the filling process of rockfill dam construction, resulting in the difficulty of obtaining the flow shop construction scheme.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Model for Construction Stage and Zone Plans of Rockfill Dams Based on the Enhanced Whale Optimization Algorithm

et al. 2019

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Rockfill dams are among the most complex, significant, and costly infrastructure projects of great national importance. A key issue in their design is the construction stage and zone optimization. However, a detailed flow shop construction scheme that considers the opinions of decision makers cannot be obtained using the current rock-fill dam construction stage and zone optimization methods, and the robustness and efficiency of existing construction stage and zone optimization approaches are not sufficient. This research presents a construction stage and zone optimization model based on a data-driven analytical hierarchy process extended by D numbers (D-AHP) and an enhanced whale optimization algorithm (EWOA). The flow shop construction scheme is optimized by presenting an automatic flow shop construction scheme multi-criteria decision making (MCDM) method, which integrates the data-driven D-AHP with an improved construction simulation of a high rockfill dam (CSHRD). The EWOA, which uses Levy flight to improve the robustness and efficiency of the whale optimization algorithm (WOA), is adopted for optimization. This proposed model is implemented to optimize the construction stages and zones while obtaining a preferable flow shop construction scheme. The effectiveness and advantages of the model are proven by an example of a large-scale rockfill dam.

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Section: Introductionmentioning

confidence: 99%

An Optimization Model for Construction Stage and Zone Plans of Rockfill Dams Based on the Enhanced Whale Optimization Algorithm

et al. 2019

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“…Zavadskas et al developed a multiple criteria on-line system for real estate [29]. Zeng et al created an information system for machine arrangement for filling construction of rock-fill dams [30]. Al-Khaiat and Fereig introduced computer applications in the Kuwaiti construction industry [31].…”

Section: Introductionmentioning

confidence: 99%

A decision support system for substage-zoning filling design of rock-fill dams based on particle swarm optimization

Wang

Zeng

2011

Inf Technol Manag

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In this paper, we studied a substage-zoning filling design problem, which is considered as a complex problem with numerous tasks such as construction planning, dam access road and borrow placement, workspace filling, and construction project management. In analyzing workflows and the mechanism of substage-zoning filling, not only the above-mentioned tasks are considered, but also the environmental factors such as rainfall and hydrology characteristic temperature are taken into account. In this study, an optimization model for dam filling which aimed at reducing the disequilibrium degree of filling intensity was proposed; in addition, a technique based on particle swarm optimization was introduced as the basis of a decision support system for rock-fill dams. The system has been employed in a water conservancy and hydropower project which shows that the system is able to provide quality decision support and facilitate the rock-fill dam construction effectively.

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Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams

Cited by 2 publications

References 8 publications

An Optimization Model for Construction Stage and Zone Plans of Rockfill Dams Based on the Enhanced Whale Optimization Algorithm

An Optimization Model for Construction Stage and Zone Plans of Rockfill Dams Based on the Enhanced Whale Optimization Algorithm

A decision support system for substage-zoning filling design of rock-fill dams based on particle swarm optimization

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