State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management-Reference-Cited by-同舟云学术

State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management

Published:2010-07 Issue:4 Volume:136 Page:412-432
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Nicklow John¹²³⁴⁵,Reed Patrick¹²³⁴⁵,Savic Dragan¹²³⁴⁵,Dessalegne Tibebe¹²³⁴⁵,Harrell Laura¹²³⁴⁵,Chan-Hilton Amy¹²³⁴⁵,Karamouz Mohammad¹²³⁴⁵,Minsker Barbara¹²³⁴⁵,Ostfeld Avi¹²³⁴⁵,Singh Abhishek¹²³⁴⁵,Zechman Emily¹²³⁴⁵,

Affiliation:

1. Associate Dean and Professor, College of Engineering, Southern Illinois Univ. Carbondale, Carbondale, IL 62901-6603 (corresponding author).

2. Associate Professor, Civil and Environmental Engineering, Pennsylvania State Univ., University Park, PA.

3. Professor, School of Engineering, Computing and Mathematics, Univ. of Exeter, U.K.

4. Senior Engineer, BEM Systems, Inc., West Palm Beach, FL.

5. Associate Professor, Civil and Environmental Engineering, Old Dominion Univ., Norfolk, VA.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000053

Reference282 articles.

1. Hydrograph-based storm sewer design optimization by genetic algorithm

2. Effect of Sorption Assumptions on Aquifer Remediation Designs

3. Impacts of Physical and Chemical Heterogeneities on Aquifer Remediation Design

4. Design of optimal water distribution systems

5. Comparison of a genetic algorithm and mathematical programming to the design of groundwater cleanup systems

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