Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
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 …
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
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 …
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
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 …
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 …
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
The potential of multiple linear regression (MLR) and artificial neural network (ANN)
techniques in predicting transient water levels over a groundwater basin were compared …
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 …
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 …
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
The genetic algorithm (GA)–based simulation optimization approach is used for optimal
identification of unknown groundwater pollution sources. Simple as well as complex …
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 …
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
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 …
associated with long‐term monitoring of sites with groundwater contamination. The method …