Design and Implementation of a Software Library Integrating NSGA - II with 1 SWAT for Multi - Objective Model Calibration

نویسنده

  • Mehmet B. Ercan
چکیده

Mehmet B. Ercan, Research Assistant, Department of Civil and Environmental Engineering, 4 University of South Carolina, Columbia, SC, USA. 5 6 Jonathan L. Goodall, Associate Professor, Department of Civil and Environmental Engineering, 7 University of Virginia, Charlottesville, VA, USA. 8 Also 9 Jonathan L. Goodall, Adjunct Professor, Department of Civil and Environmental Engineering, 10 University of South Carolina, Columbia, SC, USA. 11 12 Corresponding Author: Jonathan L. Goodall, [email protected], PO Box 400742, 13 Charlottesville, Virginia 22904, (434) 243-5019 14 15 16 17 Highlights 18

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Python Tool for Multi-Gage Calibration of SWAT Models using the NSGA-II Algorithm

Calibration of large watershed models requires multi-gage calibration, however there are limited tools available for performing these calibrations of SWAT models. Non-Dominated Sorting Genetic Algorithm II (NSGA-II) has been shown to be an effective and efficient multi-objective calibration algorithm in various disciplines. Although NSGA-II has been used with SWAT before, there is no publically...

متن کامل

Optimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm

Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...

متن کامل

Automatic Calibration of Hydrologic Models with Multi-objective Evolutionary Algorithm and Pareto Optimization

In optimization problems with at least two conflicting objectives, a set of solutions rather than a unique one exists because of the trade-offs between these objectives. A Pareto optimal solution set is achieved when a solution cannot be improved upon without degrading at least one of its objective criteria. This study investigated the application of multi-objective evolutionary algorithm (MOEA...

متن کامل

A multi-objective resource-constrained optimization of time-cost trade-off problems in scheduling project

This paper presents a multi-objective resource-constrained project scheduling problem with positive and negative cash flows. The net present value (NPV) maximization and making span minimization are this study objectives. And since this problem is considered as complex optimization in NP-Hard context, we present a mathematical model for the given problem and solve three evolutionary algorithms;...

متن کامل

Multi-Objective Automatic Calibration of a Semi-Distributed Watershed Model using Pareto Ordering Optimization and Genetic Algorithm

This study explored the application of a multi-objective evolutionary algorithm (MOEA) and Pareto ordering in the multiple-objective automatic calibration of the Soil and Water Assessment Tool (SWAT). SWAT was calibrated in the Calapooia watershed, Oregon, USA, with two different pairs of objective functions in a cluster of 24 parallel computers. The non-dominated sorting genetic algorithm (NSG...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017