Aquifer Reclamation Design: Combined Simulation-Optimization Approach

A Stochastic Optimization Approach in the Design of an Aquifer Remediation under Hydrogeologic Uncertainty

A stochastic optimization approach is presented for the remediation design of a contaminated aquifer with limited hydrogeologic information. Stochastic simulation using the Monte Carlo technique, produces a series of equally probable realisations of the spatially varying random hydraulic conductivity field. The stochastic flow and transport simulation model is coupled, using the response matrix...

A simulation-based evolutionary approach to LNA circuit design optimization

The Poisson Simulation Approach to Combined Simulation

This paper modifies the foundations of combined Discrete Event Simulation (DES) and Continuous Systems Simulation (CSS) by extending the CSS part to the stochastic domain through including discrete (although aggregated) entities. The traditional combined DES/CSS simulation, where the modeller selects between a DES and a CSS description for components of the system under study, lacks a solid the...

Coupled aquifer-borehole simulation.

A model coupling fluid hydraulics in a borehole with fluid flow in an aquifer is developed in this paper. Conservation of momentum is used to create a one-dimensional steady-state model of vertical flow in an open borehole combined with radially symmetric flow in an aquifer and with inflow to the well through the wellbore screen. Both laminar and turbulent wellbore conditions are treated. The i...

Simulation Optimization via Metamodeling Approach

Simulation optimization (SO) is the process of finding the best set of input variable values without explicitly evaluating each feasible set of these input variable values given an output criterion (Law, 2007; Fu, 1994). Input variables are called (controllable) inputs, parameter settings, values, variables, (proposed) solutions, designs, configurations, or factors (in design of experiments ter...