Results 61 to 70 of about 1,388,322 (334)
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
doaj +1 more source
Roulette-wheel selection via stochastic acceptance
, 2011 Roulette-wheel selection is a frequently used method in genetic and evolutionary algorithms or in modeling of complex networks. Existing routines select one of N individuals using search algorithms of O(N) or O(log(N)) complexity.
Lipowska, Dorota, Lipowski, Adam
core +1 more source
Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway
Molecular Oncology, EarlyView.Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed +10 more
wiley +1 more source
Modified Floating Search Feature Selection Based on Genetic Algorithm
MATEC Web of Conferences, 2018 Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set. In this article,
Homsapaya Kanyanut, Sornil Ohm
doaj +1 more source
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
openaire +2 more sources
A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection
IEEE Access, 2018 Feature selection is an important research area for big data analysis. In recent years, various feature selection approaches have been developed, which can be divided into four categories: filter, wrapper, embedded, and combined methods.
Xiao-Ying Liu +4 more
semanticscholar +1 more source
A Genetic Algorithm Based Finger Selection Scheme for UWB MMSE Rake Receivers
, 2005 Due to a large number of multipath components in a typical ultra wideband (UWB) system, selective Rake (SRake) receivers, which combine energy from a subset of multipath components, are commonly employed.
Chiang, Mung +3 more
core +2 more sources
Molecular Oncology, EarlyView.The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
FastTree-Guided Genetic Algorithm for Credit Scoring Feature Selection
ComputersFeature selection is pivotal in enhancing the efficiency of credit scoring predictions, where misclassifications are critical because they can result in financial losses for lenders and exclusion of eligible borrowers. While traditional feature selection
Rashed Bahlool +2 more
doaj +1 more source
Robust Procedures for Obtaining Assembly Contact State Extremal Configurations [PDF]
, 2004 Two important components in the selection of an admittance that facilitates force-guided assembly are the identification of: 1) the set of feasible contact states, and 2) the set of configurations that span each contact state, i.e., the extremal ...
Feng, Pan, Schimmels, Joseph M.
core +1 more source