Results 101 to 110 of about 1,311,332 (340)

Neurogenetic Algorithm for Solving Combinatorial Engineering Problems

open access: yesJournal of Applied Mathematics, 2012
Diversity of the population in a genetic algorithm plays an important role in impeding premature convergence. This paper proposes an adaptive neurofuzzy inference system genetic algorithm based on sexual selection.
M. Jalali Varnamkhasti, Nasruddin Hassan
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

open access: yesMolecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj   +4 more
wiley   +1 more source

Application of a Genetic Algorithm to Variable Selection in Fuzzy Clustering [PDF]

open access: yes
In order to group the observations of a data set into a given number of clusters, an ?optimal? subset out of a greater number of explanatory variables is to be selected. The problem is approached by maximizing a quality measure under certain restrictions
Röver, Christian, Szepannek, Gero
core  

ATF4‐mediated stress response as a therapeutic vulnerability in chordoma

open access: yesMolecular Oncology, EarlyView.
We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone   +11 more
wiley   +1 more source

A dynamic adaptive particle swarm optimization and genetic algorithm for different constrained engineering design optimization problems

open access: yesAdvances in Mechanical Engineering, 2019
A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
doaj   +1 more source

Elitism Levels Traverse Mechanism For The Derivation of Upper Bounds on Unimodal Functions [PDF]

open access: yes, 2012
In this article we present an Elitism Levels Traverse Mechanism that we designed to find bounds on population-based Evolutionary algorithms solving unimodal functions. We prove its efficiency theoretically and test it on OneMax function deriving bounds c{
Ter-Sarkisov, Aram
core   +1 more source

Transcriptional regulation of neuropeptide receptors underlies context‐dependent adaptation in Drosophila melanogaster

open access: yesFEBS Open Bio, EarlyView.
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu   +6 more
wiley   +1 more source

GENETIC ALGORITHM BASED LOAD FLOW SOLUTION PROBLEM IN ELECTRICAL POWER SYSTEMS

open access: yesJournal of Engineering, 2009
In this paper, a proposed method based on real-coded genetic algorithm is presented and applied to solve multiple load flow solution problem. Genetic algorithm is a kind of stochastic search algorithm based on the mechanics of natural selection and ...
Hassan A. Kubba, Samir Sami Mahmood
doaj   +1 more source

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