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Comprehensive assessment of soil quality in greenhouse agriculture based on genetic algorithm and neural network
PurposeWith the continuous advancement of modern agriculture and urbanization, soil quality assessment has been considered an important guarantee for...
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Optimization of China’s freight transportation structure based on adaptive genetic algorithm under the background of carbon peak
Transportation is the key carbon emission source after energy supply and industrial production. Under the vision of carbon peak and carbon...
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Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
Since air pollution negatively affects human health and causes serious diseases, accurate air pollution prediction is essential regarding...
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Wind farm layout optimization through optimal wind turbine placement using a hybrid particle swarm optimization and genetic algorithm
The placement and configuration of wind turbines (WTs) are the key factors in determining the performance and energy output of a wind farm (WF). This...
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Using Genetic Algorithm and Particle Swarm Optimization BP Neural Network Algorithm to Improve Marine Oil Spill Prediction
Numerical oil spill models, which predict the transport and behavior of oil spills, are an essential tool for risk assessment and clean-up during an...
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A genetic algorithm-optimized backpropagation neural network model for predicting soil moisture content using spectral data
PurposeAccurate assessment of soil moisture content (SMC) is crucial for applications in climate science, hydrology, ecology, and agriculture....
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Estimated greenhouse gas emissions in the Mbalmayo thermal power plant between 2016–2020 using the genetic-Gaussian algorithm coupling
The greenhouse gas (GHG) emissions inventories in our context result from the production of electricity from fuel oil at the Mbalmayo thermal power...
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Optimization of land use structure based on an improved multi-objective genetic algorithm: a case study in a large-scale opencast coal mine area, China
Based on the land use data in 1986, 1996, 2000, 2004, 2009, 2015 and 2020 in the **shuo opencast coal mine area, the land use information entropy...
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Enhancing urban blue-green landscape quality assessment through hybrid genetic algorithm-back propagation (GA-BP) neural network approach: a case study in Fucheng, China
This study employs an artificial neural network optimization algorithm, enhanced with a Genetic Algorithm-Back Propagation (GA-BP) network, to assess...
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Landslide susceptibility prediction using artificial neural networks, SVMs and random forest: hyperparameters tuning by genetic optimization algorithm
This paper evaluates a comparison between three machine learning algorithms (MLAs), namely support vector machine (SVM), multilayer perceptron...
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Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln
The increasing demand for cement due to urbanization growth in Africa countries may result in an upsurge of pollutants associated with its...
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Optimize the irrigation and fertilizer schedules by combining DSSAT and genetic algorithm
As one of the main food crops in the world, the yield of maize directly affects the food security of the world. The optimization of irrigation and...
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Combining Lattice Boltzmann method and genetic algorithm to optimize the layout of artificial floating islands in river network in China
How to solve the pollution problem of water environment in river network is a hot issue in the world. Artificial floating island is an efficient way...
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Modeling and optimization of coagulant dosage in water treatment plants using hybridized random forest model with genetic algorithm optimization
In water treatment plants (WTPs), the most common processes are coagulation and flocculation. Determination of the coagulant dosage is one of the...
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An integrated genetic algorithm-fuzzy classifier (GA-FUZZY) to identify optimal sub-catchments for placing artificial ground recharge points
Water plays a vital role in all living organisms on earth. With rapid urbanization, water is exploited at a greater pace than any other natural...
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Research on Multi-objective Optimization of Building Energy Efficiency Based on Genetic Algorithm
The development of energy efficiency schemes is not only an important means of controlling a building's energy consumption, it is also a key element...
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Optimal waste load allocation in river systems based on a new multi-objective cuckoo optimization algorithm
Water pollution escalates with rising waste discharge in river systems, as the rivers’ limited pollution tolerance and constrained self-cleaning...
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Modeling of carbon dioxide fixation by microalgae using hybrid artificial intelligence (AI) and fuzzy logic (FL) methods and optimization by genetic algorithm (GA)
In this study, we are reporting a novel prediction model for forecasting the carbon dioxide (CO 2 ) fixation of microalgae which is based on the hybrid...
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A GIS-based multi-objective evolutionary algorithm for landslide susceptibility map**
Landslides pose a significant threat to human life and infrastructure, underscoring the ongoing need for accurate landslide susceptibility map**...
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Designing a new multi-echelon multi-period closed-loop supply chain network by forecasting demand using time series model: a genetic algorithm
Demand plays a vital role in designing every closed-loop supply chain network in today’s world. The flow of materials and commodities in the opposite...
