Results 41 to 50 of about 228,099 (265)

Research On Energy-saving Operation Of High-speed Trains Based On Improved Genetic Algorithm

Journal of Applied Science and Engineering, 2022
The traditional genetic algorithm has been widely used in energy-saving optimization of train operation, but due to the uncertainty of the evolution direction of it’s population chromosomes, it has caused some problems such as a large amount of local ...
Hongxia Niu, Tao Hou, Yu Chen
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Protection Strategy Selection Model Based on Genetic Ant Colony Optimization Algorithm

Mathematics, 2022
Industrial control systems (ICS) are facing an increasing number of sophisticated and damaging multi-step attacks. The complexity of multi-step attacks makes it difficult for security protection personnel to effectively determine the target attack path ...
Xinzhan Li, Yang Zhou, Xin Li, Lijuan Xu, Dawei Zhao   +4 more
doaj   +1 more source

Distributed Genetic Algorithm for Feature Selection

CoRR
We empirically show that process-based Parallelism speeds up the Genetic Algorithm (GA) for Feature Selection (FS) 2x to 25x, while additionally increasing the Machine Learning (ML) model performance on metrics such as F1-score, Accuracy, and Receiver Operating Characteristic Area Under the Curve (ROC-AUC).
Michael Potter, Ayberk Yarkin Yildiz, Nishanth Marer Prabhu, Cameron Gordon   +3 more
openaire   +2 more sources

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

Warehouse location optimization in fresh cold chain logistics based on PSO-GA

International Journal for Simulation and Multidisciplinary Design Optimization
This study focuses on the site selection problem of fresh cold chain logistics warehouses, using a site selection model to minimize operating costs, improve distribution efficiency, and meet customer needs.
Guo Lina, Wei Yi
doaj   +1 more source

Modelling of a Roulette Wheel Selection Operator in Genetic Algorithms Using Generalized Nets [PDF]

Bioautomation, 2009
The apparatus of Generalized Nets (GN) is applied here to a description of a selection operator, which is one of the basic genetic algorithm operators. The GN model presented here describes roulette wheel selection.
Pencheva T., Atanassov K., Shannon A.
doaj  

Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection

IEEE Access, 2019
Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique is prone to premature convergence, especially of the local optimum event.
Ching Sheng Ooi, Meng Hee Lim, Mohd Salman Leong   +2 more
doaj   +1 more source

An efficient methodology for discovering both of gene-environment interactions and gene-gene interactions causing genetic diseases

Egyptian Informatics Journal, 2020
Genetic diseases are one of the most critical diseases facing human societies, their risk lies in the transmission of genetic characteristics from one generation to another, where the imbalance of these characteristics leads to an unhealthy offspring ...
Mohamed A. El-Rashidy
doaj   +1 more source