State of the art for genetic algorithms and beyond in water resources planning and management

J Nicklow, P Reed, D Savic, T Dessalegne… - Journal of Water …, 2010 - ascelibrary.org
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 …

[图书][B] Water resource systems planning and management: An introduction to methods, models, and applications

DP Loucks, E Van Beek - 2017 - books.google.com
This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook
presents a systems approach to the planning, management, and operation of water …

Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design

JB Kollat, PM Reed - Advances in Water Resources, 2006 - Elsevier
This study compares the performances of four state-of-the-art evolutionary multi-objective
optimization (EMO) algorithms: the Non-Dominated Sorted Genetic Algorithm II (NSGAII), the …

A framework for visually interactive decision-making and design using evolutionary multi-objective optimization (VIDEO)

JB Kollat, P Reed - Environmental Modelling & Software, 2007 - Elsevier
This study presents a framework for Visually Interactive Decision-making and Design using
Evolutionary Multi-objective Optimization (VIDEO). The VIDEO framework allows users to …

Multiobjective differential evolution with application to reservoir system optimization

MJ Reddy, DN Kumar - Journal of computing in civil engineering, 2007 - ascelibrary.org
Many water resources systems are characterized by multiple objectives. For multiobjective
optimization, typically there can be no single optimal solution which can simultaneously …

Striking the balance: long-term groundwater monitoring design for conflicting objectives

PM Reed, BS Minsker - Journal of Water Resources Planning and …, 2004 - ascelibrary.org
This study demonstrates the use of high-order Pareto optimization (ie, optimizing a system
for more than two objectives) on a long-term monitoring (LTM) application. The LTM …

How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?

Y Tang, P Reed, T Wagener - Hydrology and earth system …, 2006 - hess.copernicus.org
This study provides a comprehensive assessment of state-of-the-art evolutionary
multiobjective optimization (EMO) tools' relative effectiveness in calibrating hydrologic …

Recent trends in evolutionary multiobjective optimization

CA Coello Coello - Evolutionary multiobjective optimization: theoretical …, 2005 - Springer
This chapter presents a brief review of some of the most relevant research currently taking
place in evolutionary multiobjective optimization. The main topics covered include …

A DSS generator for multiobjective optimisation of spreadsheet-based models

DA Savić, J Bicik, MS Morley - Environmental modelling & software, 2011 - Elsevier
Water management practice has benefited from the development of model-driven Decision
Support Systems (DSS), and in particular those that combine simulation with single or …

Cost-effective sampling network design for contaminant plume monitoring under general hydrogeological conditions

J Wu, C Zheng, CC Chien - Journal of contaminant Hydrology, 2005 - Elsevier
A new simulation–optimization methodology is developed for cost-effective sampling
network design associated with long-term monitoring of large-scale contaminant plumes …