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Civil Engineering and Environmental Systems is a peer-reviewed journal published by Taylor & Francis, covering Water Systems and Optimization, Water resources management and optimization, Complex Systems and Decision Making.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Civil Engineering and Environmental Systems 12 (3): 45–58.
Formats any DOI in Civil Engineering and Environmental Systems style. No sign-up. |
| Publishes research in | Water Systems and Optimization Water resources management and optimization Complex Systems and Decision Making Probabilistic and Robust Engineering Design Infrastructure Resilience and Vulnerability Analysis |
| ISSN | 1028-6608 |
| Citation impact (2-yr) | 1.46 |
| h-index | 46 |
| i10-index | 238 |
| Total citations | 9,201 |
| Top institutions publishing here | University of Canterbury |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract An inexact two-stage stochastic programming (ITSP) model is proposed for water resources management under uncertainty. The model is a hybrid of inexact optimization and two-stage stochastic programming. It can reflect not only uncertainties expressed as probability distributions but also those being available as intervals. The solution meth od for ITSP is computationally effective, which…
In this paper, we introduce the concept of non-dominance (commonly used in multiobjective optimization) as a way to incorporate constraints into the fitness function of a genetic algorithm. Each individual is assigned a rank based on its degree of dominance over the rest of the population. Feasible individuals are always ranked higher than infeasible ones,…
Forecasts of future events are required in many of the activities associated with the planning and operation of the components of a water resource system. For the hydrologic component, there is a need for both short- and long-term forecasts of river flow events in order to optimize the system or to plan for future expansion…
Construction professionals recognize that rework is a significant factor contributing to poor project performance, yet little is known about its antecedents and consequently it remains an innate problem. Because factors that contribute to its occurrence are not fully understood, the derivation of appropriate strategies for its reduction is problematic. Therefore, a comprehensive appreciation of the…
The majority of the artificial neural network (ANN) applications to water resources data involve the employment of the feed forward back propagation method (FFBP). In this study, an ANN algorithm, generalized regression neural network (GRNN), was employed in monthly mean flow forecasting. The performances of the GRNN and the FFBP methods were compared initially for…
