A mixed discrete-continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices-Reference-Cited by-同舟云学术

A mixed discrete-continuous variable multiobjective genetic algorithm for targeted implementation of nonpoint source pollution control practices

Published:2013-12 Issue:12 Volume:49 Page:8344-8356
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Ahmadi Mehdi¹,Arabi Mazdak¹,Hoag Dana L.²,Engel Bernard A.³

Affiliation:

1. Department of Civil and Environmental Engineering; Colorado State University; Fort Collins Colorado USA

2. Department of Agricultural and Resource Economics; Colorado State University; Fort Collins Colorado USA

3. Department of Agricultural and Biological Engineering; Purdue University; West Lafayette Indiana USA.

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2013WR013656/fullpdf

Reference77 articles.

1. Discrete-continuous optimization for multi-target tracking

2. Cost-effective allocation of watershed management practices using a genetic algorithm;Arabi;Water Resour. Res.,2006

3. Large area hydrologic modeling and assessment part I: Model development;Arnold;J. Am. Water Resour. Assoc.,1998

4. Arnold , J. G. J. R. Kiniry R. Srinivasan J. R. Williams E. B. Haney S. L. Neitsch 2011 Soil and Water Assessment Tool input/output file documentation

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unraveling spatial patterns and source attribution of nutrient transport: Towards optimal best management practices in complex river basin;Science of The Total Environment;2024-01

2. Balancing water quality impacts and cost-effectiveness for sustainable watershed management;Journal of Hydrology;2023-06

3. A review of modeling pesticides in freshwaters: Current status, progress achieved and desirable improvements.;Environmental Pollution;2023-01

4. A multi-objective adaptive surrogate modelling-based optimization algorithm for constrained hybrid problems;Environmental Modelling & Software;2022-02

5. Spatial optimization of soil and water conservation practices using coupled SWAT model and evolutionary algorithm;International Soil and Water Conservation Research;2021-12