Results 81 to 90 of about 329,581 (308)

Driving Cars by Means of Genetic Algorithms [PDF]

open access: yes, 2008
Proceedings of: 10th International Conference on Parallel Problem Solving From Nature, PPSN 2008. Dortmund, Germany, September 13-17, 2008The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue.
Sáez, Yago   +6 more
core   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

ECONOMIC DISPATCH AT THE AMBARLI POWER PLANT USING GENETIC ALGORITHM

open access: yesElectrica, 2019
In this paper we consider the important problem of economic operation of power systems: how to operate a power system to supply all loads at minimum cost. Here we assume that we have some flexibility in adjusting the power delivered by each generator. Of
Belgin TÜRKAY
doaj   +2 more sources

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

open access: yesFEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui   +10 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

open access: yesCAAI Transactions on Intelligence Technology
Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics ...
Tianyu Hu   +4 more
doaj   +1 more source

Theory of genetic algorithms

open access: yesTheoretical Computer Science, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

open access: yesFEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane   +11 more
wiley   +1 more source

A coarse-grained parallelization of genetic algorithms

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2018
Genetic algorithms are frequently used to solve optimization problems. However, the problems become increasingly complex and time consuming. One solution to speed up the genetic algorithm processing is to use parallelization. The proposed parallelization
Muhamad Radzi Rathomi, Reza Pulungan
doaj   +1 more source

Genetic Algorithm for Synchronization

open access: yes, 2009
We present a novel approach to the synchronization problem. It is a well-known fact that a problem of finding minimal (or: the shortest) synchronizing word (MSW) for a given synchronizing automaton is NP-complete. In this paper we present the genetic algorithm which tries, for a given automaton, to find possibly short word that synchronizes it.
openaire   +2 more sources

OPTIMIZING PROJECT TIME-COST-QUALITY BY USING GENETIC ALGORITHMS [PDF]

open access: yes
Project management causes the problem of efficient resource assignment, activity, time constraints and relationships between activities. Traditional scheduling methods like CPM and PERT are incomplete tools to use in practice because they do not consider
Ileana Ruxandra BADEA   +1 more
core  

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