F
Feifei Zheng
Researcher at Zhejiang University
Publications - 85
Citations - 2258
Feifei Zheng is an academic researcher from Zhejiang University. The author has contributed to research in topics: Differential evolution & Evolutionary algorithm. The author has an hindex of 22, co-authored 70 publications receiving 1416 citations. Previous affiliations of Feifei Zheng include University of Adelaide.
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Quantifying the dependence between extreme rainfall and storm surge in the coastal zone
TL;DR: In this article, the presence of dependence between extreme rainfall and storm surge along the Australian coastline using the most extensive observational records of rainfall and Storm surge events currently available was investigated, showing that the two processes must be considered jointly if flood risk is to be quantified correctly.
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Modeling dependence between extreme rainfall and storm surge to estimate coastal flooding risk
TL;DR: In this paper, the authors compared three classes of statistical methods (threshold-excess, point process, and conditional) in terms of their ability to quantify flood risk, and concluded that the point process method is the most suitable approach for modeling dependence between extreme rainfall and storm surge when the dependence is relatively strong, while none of the three methods produces satisfactory results for bivariate extremes with very weak dependence.
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An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems
TL;DR: An innovative parameter-adaptive strategy for ant colony optimization (ACO) algorithms based on controlling the convergence trajectory in decision space to follow any prespecified path, aimed at finding the best possible solution within a given, and limited, computational budget.
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State-of-the-art review on the transient flow modeling and utilization for urban water supply system (UWSS) management
TL;DR: In this article, a comprehensive review on the transient flow research for urban water supply system (UWSS) management is presented, which consists of two aspects as follows: the first aspect is about the development and progress of current transient theory, including transient flow models, unsteady friction and turbulence models, and numerical simulation methods.
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A combined NLP‐differential evolution algorithm approach for the optimization of looped water distribution systems
TL;DR: In this paper, a novel optimization approach for the least-cost design of looped water distribution systems (WDSs) is proposed, where three distinct steps are involved in the proposed optimization approach.