Results 51 to 60 of about 199,526 (313)
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 +2 more
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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 +4 more
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Parameter Selection in Genetic Algorithms
Journal of Systemics, Cybernetics and Informatics, 2004 In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental design techniques. Appropriate levels of each parameter are proposed for a particular problem domain.
BOYABATLI, Onur, SABUNCUOGLU, Ihsan
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Regression modeling based on improved genetic algorithm
Tehnički Vjesnik, 2017 Regression model is a well-established method in data analysis with applications in various fields. The selection of independent variables and mathematically transformed in a regression model is often a challenging problem.
Shi Minghua +3 more
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Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source
Selective Mutation For Genetic Algorithms
, 2009 In this paper, we propose a selective mutation method for improving the performances of genetic algorithms. In selective mutation, individuals are first ranked and then additionally mutated one bit in a part of their strings which is selected corresponding to their ranks.
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Ship Type Selection and Cost Optimization of Marine Container Ships Based on Genetic Algorithm
Applied SciencesIn the context of the deep-sea transportation supply chain, this paper addresses the complex decision-making problem of vessel allocation and carbon emission optimization for container shipping routes.
Ping Xiao, Haiyan Wang
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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
Feature Selection for Image Retrieval based on Genetic Algorithm
International Journal of Interactive Multimedia and Artificial Intelligence, 2016 This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction such as colour, texture and shape.
Preeti Kushwaha, Rashmi Welekar
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Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Molecular Oncology, EarlyView.Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson +11 more
wiley +1 more source