Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Laura J. Harrell"'
Autor:
Mohammad Karamouz, Avi Ostfeld, John W. Nicklow, Laura J. Harrell, Dragan Savic, Tibebe Dessalegne, Patrick M. Reed, Abhishek Singh, Emily M. Zechman, Amy Chan-Hilton, Barbara S. Minsker
Publikováno v:
Journal of Water Resources Planning and Management. 136:412-432
During the last two decades, the water resources planning and management profession has seen a dramatic increase in the development and application of various types of evolutionary algorithms (EAs). This observation is especially true for application
Autor:
Laura J. Harrell, S. Ranji Ranjithan
Publikováno v:
Journal of Water Resources Planning and Management. 129:98-106
Nonpoint source management using wet detention ponds to reduce pollutant loading into receiving water bodies is a common practice. Design of these ponds is typically carried out individually to meet a target total suspended solids (TSS) removal level
Autor:
Laura J. Harrell, Kwisun Park Yu
Publikováno v:
World Environmental and Water Resources Congress 2008.
Autor:
Laura J. Harrell
Publikováno v:
World Environmental and Water Resources Congress 2008.
Publikováno v:
World Environmental and Water Resources Congress 2007.
Handling constraints in Evolutionary Algorithms (EAs) can be challenging, especially for highly constrained, complex optimization problems. Because constraints are not handled directly in an EA, heuristics must be carefully designed and applied to gu
Computer-Based Educational Module for Exploring Genetic Algorithms in Surface Water Systems Analysis
Autor:
Talaat El Gamel, Laura J. Harrell
Publikováno v:
World Environmental and Water Resources Congress 2007.
An interactive educational module has been developed to introduce graduatelevel students to genetic algorithms and their applications in surface water systems analysis. The module includes a user-friendly graphical user interface that is used to sele
Autor:
Laura J. Harrell, Kwisun Park Yu
Publikováno v:
World Environmental and Water Resource Congress 2006.
Chance-constrained genetic algorithms (CCGAs) can identify efficient solutions to complex water resources and environmental problems that satisfy a criterion with a specified likelihood under uncertainty. However, because they require evaluation of p
Autor:
Laura J. Harrell, Talaat El Gamel
Publikováno v:
World Environmental and Water Resource Congress 2006.
An educational module has been developed to introduce graduate-level students to genetic algorithms and their applications in surface water systems analysis. The module includes a user-friendly graphical user interface that is used to select genetic
Autor:
Talaat El Gamel, Laura J. Harrell
Publikováno v:
World Environmental and Water Resource Congress 2006.
Handling constraints in evolutionary algorithms (EAs) is a challenging issue, since an EA does not handle constraints directly. Thus, developing a heuristic that can guide the search toward feasible and good-performing solutions has become a topic of
Autor:
Kwisun Park Yu, Laura J. Harrell
Publikováno v:
Managing Watersheds for Human and Natural Impacts.