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Multi-objective optimization of parameters design based on genetic algorithm in annulus aerated dual gradient drilling
The optimization of drilling parameters is crucial for resolving the drilling problems in low-pressure and leaky formations using the annulus aerated...
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Optimization of LSTM Parameters for Flash Flood Forecasting Using Genetic Algorithm
Accurate flood forecasts provide a critical time for authorities and the public to enact flood response measures and initiate evacuations. Long...
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Genetic parameters estimation for growth traits in cultured tiger pufferfish (fugu), Takifugu rubripes
The aim of this study was to evaluate the genetic parameters of the growth performance of Takifugu rubripes . Heritabilities and genetic correlations...
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Understanding the effects of subsidence on unconfined aquifer parameters by integration of Lattice Boltzmann Method (LBM) and Genetic Algorithm (GA)
Excessive exploitation of groundwater has hitherto led to a significant land subsidence in a considerable number of plains in Iran. The compaction of...
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Genetic Algorithms
The concept of the genetic algorithm is introduced. The application of the basic algorithm for real value functions is demonstrated. We discuss...
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Inversion of Subsidence Parameters and Prediction of Surface Dynamics under Insufficient Mining
AbstractBy combining the advantages of InSAR, Probabilistic Integral Method and Genetic Algorithm, an improved method for dynamic prediction of...
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Genetic Algorithm Based Model for Optimal Selection of Open Channel Design Parameters
Open channels are one of the most used water conveyance systems for delivering water for different purposes. Existing models for the design of open...
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Applied machine learning-based models for predicting the geomechanical parameters using logging data
Geomechanical (GM) parameters play a significant role in geomechanical studies. The calculation of GM parameters by analyzing finite rock samples is...
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Estimating genetic parameters with molecular relatedness and pedigree reconstruction for growth traits in early mixed breeding of juvenile turbot
An introduced turbot population was used to establish families and to estimate genetic parameters of the offspring. However, there is a lack of...
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Establishment of local caprine population genetic improvement plans to ensure environmental integration in Mediterranean arid zones
To conceive an applicable genetic improvement plan for local goat population under arid regions, the study aims to determine the genetic parameters...
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Using Machine Learning to Identify and Optimize Sensitive Parameters in Urban Flood Model Considering Subsurface Characteristics
This study presents a novel method for optimizing parameters in urban flood models, aiming to address the tedious and complex issues associated with...
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Estimation Equations for Back Break and Ground Vibration Using Genetic Programming
The advent of advanced computer programs, artificial intelligence techniques, algorithms, and numerical modelling techniques and their application in...
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Influence of mineralogical and geochemical multi-parameters on the geotechnical properties of gneiss-derived lateritic gravels from an equatorial zone, center Cameroon
Lateritic gravels are extensively used in road construction and other civil engineering structures. Depending on various parameters, genetic...
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Genetic parameter evaluation for growth and cold-resistance traits of the giant freshwater prawn Macrobrachium rosenbergii
The giant freshwater prawn Macrobrachium rosenbergii distributed from tropical to subtropical regions, is a warm-water species, and its survival...
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Hybrid Fuzzy-Based Modeling of Shear Strength Parameters of Rocks Using Petrographic Properties
Mohr–Coulomb failure criterion is vastly employed to understand the risk of collapse of the highly stressed boreholes in oil and gas industries. It...
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Application of Genetic Algorithm in Volcanology and Seismology
In this chapter after presenting a briefed list of the GA applications, various advanced applications of Genetic Algorithms in the fields of...
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Evolutionary Algorithms with Focus on Genetic Algorithm
In this chapter, an important group of intelligent optimization methods called evolutionary algorithms is presented, and among these methods, the...
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Reducing Model Uncertainty in Physical Parameterizations: Combinational Optimizations Using Genetic Algorithm
The numerical weather predictionNumerical weather prediction (NWP) skills are strongly affected by the uncertainties in parameterizations of...
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Estimation of ARIMA model parameters for drought prediction using the genetic algorithm
Drought is a phenomenon that occurs slowly, affecting surface water and groundwater resources, which can reduce the water supply, worsen water...
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Performance optimization of PV panels operating under varying environmental conditions using a genetic algorithm and power law model
This paper introduces a novel photovoltaic (PV) modeling approach that combines the power law model (PLM), the single diode model (SDM), and a...
