Linked Simulation-Optimization Model for Optimal Contaminant
Seepage criteria based optimal design of water retaining structures with reliability quantification utilizing surrogate model linked simulation-optimization approach
... 1.2 Problem Statement The relationship between seepage design variables related to HWRS is usually categorized as a high degree nonlinearity problem, especially for complex problems (Harr, 1962). Many existing hydraulic ...
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Inventory Optimization Using a SimPy Simulation Model
... [14], simulation is defined as “the art and science of constructing models of systems for the purpose of experimentation,” and a system is defined as “a collection of mutually dependent components whose actions on ...
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A Simulation Model for Grid Scheduling Analysis and Optimization
... Abstract Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offer high quality services to members of Virtual Organizations based on the efficient use of the available resources. ...
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Linking a simulated annealing based optimization model with PHT3D simulation model for chemically reactuve transport processes to optimally characterize unknown contaminant sources in a former mine site in Australia
... tion model PHT3D is linked to a Simulated Annealing based the optimum de- cision ...numerical simulation model PHT3D is utilized for numer- ically simulating the reactive transport process ...
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Linking a Simulated Annealing Based Optimization Model with PHT3D Simulation Model for Chemically Reactive Transport Processes to Optimally Characterize Unknown Contaminant Sources in a Former Mine Site in Australia
... tion model PHT3D is linked to a Simulated Annealing based the optimum de- cision ...numerical simulation model PHT3D is utilized for numer- ically simulating the reactive transport process ...
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Identification of Unknown Groundwater Pollution Sources and Determination of Optimal Well Locations Using ANN GA Based Simulation Optimization Model
... the simulation model is not satisfactory when a single ANN model is used to predict the concentration of all the observation ...of optimal observation wells which will ul- timately reduce the ...
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Consistency Simulation and Optimization for HPIBM Model in Emergency Decision Making
... (HPIBM) model can be used to identify the most inconsistent entry in an ...constructing optimization problem while improving the consistency ...the optimal solutions for missing values and help ...
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3D Variational Analysis In Subsurface Contaminant Transport Model
... of contaminant transport in a subsurface environment by a numerical model deviates from the real world environment because of the highly heterogeneous nature of the subsurface ...numerical model and ...
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Adaptive surrogate model based optimization (ASMBO) for unknown groundwater contaminant source characterizations using self-organizing maps
... groundwater contaminant sources in terms of location, magnitude and duration of source activity is a complex ...Based Optimization (ASMBO) uses the capabilities of Self Organizing Map (SOM) algorithm to ...
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Optimal identification of unknown groundwater contaminant sources in conjunction with designed monitoring networks
... optimisation model incorporating finite difference discretised governing equations of groundwater flow and solute transport to identify unknown groundwater contaminant ...the optimal solutions, ...
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A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion
... its optimal pumping rates to maintain the water quality (control the SWI) are also addressed by the ...illustrated optimal solutions along each Pareto frontiers are originated from pumping of water at these ...
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A Simulation-Optimization Model to Study the Control of Seawater Intrusion in Coastal Aquifers
... decision model based on the loss function concept to estimate the optimum yield from a groundwater basin and control saltwater intrusion in Yun-Lin area, ...element model to simulate the spatial and ...
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Optimal Exit Configuration of Factory Layout for a Safer Emergency Evacuation using Crowd Simulation Model and Multi-Objective Artificial Bee Colony Optimization
... and optimal factory layout based on a crowd simulation model and the multi-objective artificial bee colony optimization ...a simulation model is useful, where experiments with ...
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Simulation of a model-based optimal controller for heating systems under realistic hypothesis
... Optimal control studies related to buildings can be subdivided in two categories: auxiliary heating (and sometimes cooling) control in solar buildings, and cooling system optimization. The first category ...
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A Dynamic Simulation based Model for Optimal Fleet Repositioning in Bike-sharing Systems
... the optimization problem (fixed point ...BSS simulation considering PDp and PDb slots and bikes ...the optimal relocation matrix and the optimal relocation path and bikes distribution among ...
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Optimization: Optimal Pricing with Elasticity
... the Simulation – Demand Curve and Elasticity Estimation model for examples on how to obtain elasticity ...measures. Optimization Procedures Using the principles of price elasticity of demand, we can ...
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Linked simulation-optimization based methodologies for unknown groundwater pollutant source identification in managed and unmanaged contaminated sites
... actual release history is shown in Figure 5.2. Total time of activity of the source of pollution is 12 years and Figure 5.2 shows the average source flux for each year. The observation sequence contains 16 observations ...
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Numerical Model Parameters for Simulation of Contaminant Transport
... the model results to describe the likelihood of a certain result being ...state model, the input parameters and solution are independent of ...variant model, input parameter values can be specified ...
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Numerical Model Parameters for Simulation of Contaminant Transport
... the model results to describe the likelihood of a certain result being ...state model, the input parameters and solution are independent of ...variant model, input parameter values can be specified ...
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Particle Swarm Optimization Simulation via Optimal Halton Sequences
... Inspired by the social behavior of the bird flocking or fish schooling, the particle swarm opti- mization (PSO) is a population based stochastic optimization method developed by Eberhart and Kennedy in 1995. It has ...
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