Abstract: In this study, fuzzy sets are utilized to interpret uncertainty in aquifer parameters in the solution of groundwater optimization problems. For this purpose, an optimization model is developed for the design of groundwater ...

Abstract: Climate-change–based global sea-level rise is of concern because it contributes to significant loss of coastal wetlands and mangroves and to increasing damage from coastal flooding in many regions of the world. Physical ...

Abstract: Sea-level rise (SLR) is one of the most damaging impacts of climate change. Rising sea levels lead to loss of coastal wetlands, coastal flooding, degradation of coastal ecosystems, and a general loss of quality of life. ...

Abstract: Genetic algorithms (GAs) have been shown to be an efficient tool for the solution of unconstrained optimization problems. In their standard form, GA formulations are “blind” to the constraints of an optimization model when ...

Abstract: In this study, we formulate a contaminant source characterization problem as a nonlinear optimization model, in which contaminant source locations and release histories are defined as explicit unknown variables. The ...

Abstract: In this study we provide a methodology for the optimal design of water sensor placement in water distribution networks. The optimization algorithm used is based on a simulation-optimization and a single-objective function ...

Abstract: In this paper, the authors propose a new approach, the simulation–optimization method, to solve a nonlinear contaminant-source and release-history identification problem for a complex water distribution system. This approach ...