Simulation-optimization modeling techniques for groundwater management and sustainability: a critical review
AM Saqr, MG Ibrahim, M Fujii… - Advanced Engineering …, 2022 - Trans Tech Publ
Recently, groundwater resources have been subjected to negative impacts from various
natural and anthropogenic factors worldwide. Hence, great efforts have been conducted in …
natural and anthropogenic factors worldwide. Hence, great efforts have been conducted in …
Assessment of tools for protection of quality of water: uncontrollable discharges of pollutants
Selecting an appropriate crisis management plans during uncontrollable loading of pollution
to water systems is crucial. In this research the quality of water resources against …
to water systems is crucial. In this research the quality of water resources against …
Genetic algorithm hyper-parameter optimization using Taguchi design for groundwater pollution source identification
Groundwater pollution has been a major concern for human beings, since it is inherently
related to people's health and fitness and the ecological environment. To improve the …
related to people's health and fitness and the ecological environment. To improve the …
The implementation of genetic algorithm for the identification of DNAPL sources
Contamination caused by dense non-aqueous phase liquids (DNAPLs) is a serious peril to
the groundwater supply quality. The DNAPLs are largely undetected and yet are likely to be …
the groundwater supply quality. The DNAPLs are largely undetected and yet are likely to be …
Optimization of pumping policy using coupled finite element-particle swarm optimization modelling
R Cyriac, AK Rastogi - ISH Journal of Hydraulic Engineering, 2016 - Taylor & Francis
An optimal pumping policy during groundwater extraction ensures the sustainability of
groundwater resources. In this paper, a coupled finite element-particle swarm simulation …
groundwater resources. In this paper, a coupled finite element-particle swarm simulation …
Multigene genetic programming approach for modelling and optimisation of removal of heavy metals from ash pond water using cyanobacterial-microalgal consortium
Heavy metals such as Lead (II), Nickel (II), Manganese (II), Cadmium (II), Chromium (VI), and
others are leached from coal ash in thermal power plants, contaminating ash pond water …
others are leached from coal ash in thermal power plants, contaminating ash pond water …
[PDF][PDF] Application of a neuro-genetic technique in the optimization of heavy metals removal from wastewaters for environmental risk reduction.
GD Suditu, CG Piuleac, L Bulgariu… - … & Management Journal …, 2013 - researchgate.net
The reason for carrying out this research is related to the significant risk of heavy metals
present in wastewater on the environment and human health. The removal of heavy metal …
present in wastewater on the environment and human health. The removal of heavy metal …
[PDF][PDF] Optimizing and modelling Cu (II) removal from simulated wastewater using attapulgite modified with Keggin ions with the aid of RSM, BP-ANN and GA-BP
W Xie, T Cheng, C Chen, C Sun, L Qi… - Desalin. Water …, 2020 - deswater.com
abstract Attapulgite modified with Keggin ions was successfully synthesized to remove Cu
(II) in aqueous systems. The original and modified attapulgite samples were characterized …
(II) in aqueous systems. The original and modified attapulgite samples were characterized …
Estimating soil thermal properties from sequences of land surface temperature using hybrid genetic algorithm–finite difference method
Most models used in land surface hydrology, vadose zone hydrology, and hydro-climatology
require an accurate representation of soil thermal properties (soil thermal conductivity and …
require an accurate representation of soil thermal properties (soil thermal conductivity and …
Genetic algorithms with diversity measures to build classifier systems
LC Hernández, AMM Hernández… - Investigación …, 2015 - revistas.uh.cu
The combination of classifiers is an active research area of the machine learning and pattern
recognition communities. Many t heoretical and empirical studies have been published …
recognition communities. Many t heoretical and empirical studies have been published …