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Multi Objective Optimization using Non-Dominated Sort Genetic Algorithm with Artificial Neural Network for Reactive Dividing Wall Column
AbstractIn this study, multi-objective optimization of reactive dividing wall column is presented. Production of methyl acetate from acetic acid and...
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Genetic Algorithm Optimization for Obtaining Accurate Molecular Weight Distributions from Sedimentation Velocity Experiments
Sedimentation experiments can provide a large amount of information about the composition of a sample, and the properties of each component...
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The Genetic Algorithm Approach to Protein Structure Prediction
Predicting the three-dimensional structure of proteins from their linear sequence is one of the major challenges in modern biology. It is widely...
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Cost and Efficiency Optimizations of ZnO/EG Nanofluids Using Non-dominated Sorting Genetic Algorithm Coupled with a Statistical Method
In this study, optimization of ZnO/EG nanofluids was investigated to increase efficiency and reduce costs. To determine the efficiency of nanofluid,...
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Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure
Shape optimization of micromixers with Cantor fractal structures on the top and bottom walls has been conducted using a combination of...
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Parameter identification and state of charge estimation for lithium-ion batteries under wide temperature range
Accurate estimation of the state of charge (SOC) for lithium-ion batteries (LIBs) has now become a crucial work in develo** a battery management...
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Minimum elutriation velocity of the binary solid mixture — Empirical correlation and genetic algorithm (GA) modeling
The solid-water fluidized bed was investigated with a binary mixture of irregularly shaped sand particles. A binary mixture was produced by mixing...
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Investigation and optimization of olefin purification in methanol-to-olefin process based on machine learning approach coupled with genetic algorithm
In this study, the goal was to develop a robust model for prediction of the performance of a purification section of methanol to olefin (MTO) process...
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Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques
Gesho ( Rhamnus prinoides ) is a medicinal plant with antioxidant and anti-inflammatory activities commonly used in the ethnomedicinal systems of...
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Improved production of RNA-inhibiting antimicrobial peptide by Bacillus licheniformis MCC 2514 facilitated by a genetic algorithm optimized medium
One of the significant challenges during the purification and characterization of antimicrobial peptides (AMPs) from Bacillus sp. is the interference...
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Optimization of accelerated solvent extraction of zeaxanthin from orange paprika using response surface methodology and an artificial neural network coupled with a genetic algorithm
This study aimed to optimize the accelerated solvent extraction (ASE) condition of zeaxanthin from orange paprika using a response surface...
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Derivation of a Force Field for Computer Simulations of Multi-Walled Nanotubes Using Genetic Algorithm. I. Tungsten Disulfide
AbstractA technique for constructing force fields based on the use of genetic algorithms is proposed, which is aimed at parameterization of...
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Unsteady numerical modeling, experimental validation and optimization of a solar air heater based on the second law of thermodynamics using genetic algorithm
Solar air heaters have a low thermal performance and it is necessary to improve their efficiency. The objective is to find operating conditions with...
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An On-Demand Inverse Design Method for Nanophotonic Devices Based on Generative Model and Hybrid Optimization Algorithm
The inverse design of nanophotonic devices has been widely concerned by researchers, and on-demand design is the difficulty of inverse design. In...
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Almond (Prunus dulcis) varieties classification with genetic designed lightweight CNN architecture
Almond (Prunus dulcis) is a nutritious food with a rich content. In addition to consuming as food, it is also used for various purposes in sectors...
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Parameter Optimization Methods of the Hydraulic Regenerative Braking System Based on the Actual Working Condition
Hydraulic regenerative braking system is a kind of complex MIMO (Multiple Input Multiple Output) system which is strongly nonlinear and...
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Genetic Network Design Automation with LOICA
Genetic design automation (GDA) is the use of computer-aided design (CAD) in designing genetic networks. GDA tools are necessary to create more...
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Fractional modeling and parameter identification of lithium-ion battery
To simulate and control the lithium-ion battery system more effectively, it is necessary to establish a specific physical model of lithium-ion...
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Optimal conditions of paint wastewater coagulation with gastropod shell conchiolin using response surface design and artificial neural network-genetic algorithm
The potential of gastropod shell conchiolin (GSC) (a waste product of the deprotenization stage of chitosan production) as one of the alternatives to...
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k- Strong Inference Algorithm: A Hybrid Information Theory Based Gene Network Inference Algorithm
Gene networks allow researchers to understand the underlying mechanisms between diseases and genes while reducing the need for wet lab experiments....
