Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

HR Maier, Z Kapelan, J Kasprzyk, J Kollat… - … Modelling & Software, 2014 - Elsevier
The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …

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 …

Cropland displacement contributed 60% of the increase in carbon emissions of grain transport in China over 1990–2015

C Zuo, C Wen, G Clarke, A Turner, X Ke, L You, L Tang - Nature Food, 2023 - nature.com
Rapid urbanization and population growth have increased the need for grain transportation
in China, as more grain is being consumed and croplands have been moved away from …

[图书][B] The design of innovation: Lessons from and for competent genetic algorithms

DE Goldberg - 2002 - Springer
" It is well known that" building blocks", whether they be the atoms of chemistry, the words of
a language, or the modules of a computer, play a key role in our understanding of the world …

[PDF][PDF] Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment

S Sahoo, MK Jha - Hydrogeology Journal, 2013 - researchgate.net
The potential of multiple linear regression (MLR) and artificial neural network (ANN)
techniques in predicting transient water levels over a groundwater basin were compared …

An overview of the optimization modelling applications

A Singh - Journal of Hydrology, 2012 - Elsevier
The optimal use of available resources is of paramount importance in the backdrop of the
increasing food, fiber, and other demands of the burgeoning global population and the …

Concurrent optimisation of modular product and Reconfigurable Manufacturing System configuration: a customer-oriented offer for mass customisation

R Campos Sabioni, J Daaboul… - International journal of …, 2022 - Taylor & Francis
ABSTRACT Reconfigurable Manufacturing Systems (RMS) emerged from companies' needs
to increase their responsiveness to an uncertain market, in which customers are increasingly …

Identification of groundwater pollution sources using GA-based linked simulation optimization model

RM Singh, B Datta - Journal of hydrologic engineering, 2006 - ascelibrary.org
The genetic algorithm (GA)–based simulation optimization approach is used for optimal
identification of unknown groundwater pollution sources. Simple as well as complex …

Optimal reservoir operation for irrigation of multiple crops using genetic algorithms

D Nagesh Kumar, KS Raju, B Ashok - Journal of irrigation and …, 2006 - ascelibrary.org
This paper presents a genetic algorithm (GA) model for obtaining an optimal operating
policy and optimal crop water allocations from an irrigation reservoir. The objective is to …

Cost‐effective long‐term groundwater monitoring design using a genetic algorithm and global mass interpolation

P Reed, B Minsker, AJ Valocchi - Water resources research, 2000 - Wiley Online Library
A new methodology for sampling plan design has been developed to reduce the costs
associated with long‐term monitoring of sites with groundwater contamination. The method …