Results 41 to 50 of about 10,111,586 (292)

Optimal noise in a stochastic model for local search

open access: yesPhysical Review E, 2018
We develop a prototypical stochastic model for local search around a given home. The stochastic dynamic model is motivated by experimental findings of the motion of a fruit fly around a given spot of food but shall generally describe local search behavior. The local search consists of a sequence of two epochs.
Noetel, J.   +3 more
openaire   +4 more sources

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Optimization in timetabling in schools using a mathematical model, local search and Iterated Local Search procedures

open access: yesGestão & Produção
This paper addresses the school timetabling problem, which consists of defining the date and time in which classes will be given by teachers in educational institutions.
Pedro Rochavetz de Lara Andrade   +2 more
doaj   +1 more source

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

open access: yesFEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav   +2 more
wiley   +1 more source

BeamECOC: A local search for the optimization of the ECOC matrix [PDF]

open access: yes2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Error Correcting Output Coding (ECOC) is a multi-class classification technique in which multiple binary classifiers are trained according to a preset code matrix such that each one learns a separate dichotomy of the classes. While ECOC is one of the best solutions for multi-class problems, one issue which makes it suboptimal is that the training of ...
Cemre Zor   +5 more
openaire   +2 more sources

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach   +9 more
wiley   +1 more source

Effectiveness of Local Search for Geometric Optimization

open access: yes, 2015
What is the effectiveness of local search algorithms for geometric problems in the plane? We prove that local search with neighborhoods of magnitude 1/epsilon^c is an approximation scheme for the following problems in the Euclidean plane: TSP with random inputs, Steiner tree with random inputs, uniform facility location (with worst case inputs), and ...
Cohen-Addad, Vincent, Mathieu, Claire
openaire   +4 more sources

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Improving Search Accuracy in Large-Scale Biased Multiobjective Optimization Through Local Search

open access: yesInternational Journal of Computational Intelligence Systems
Biased multiobjective optimization problems pose a challenge for evolutionary algorithms in obtaining high-accuracy solutions, and as the number of decision variables increases, this challenge becomes increasingly difficult to overcome.
Feng Yin, Bin Cao
doaj   +1 more source

TDSD: A New Evolutionary Algorithm Based on Triple Distinct Search Dynamics

open access: yesIEEE Access, 2020
Spherical evolution is a recently proposed nature-inspired meta-heuristic algorithm which is proven to have nontrivial efficiency and effectiveness in solving complex optimization problems.
Xiaosi Li   +5 more
doaj   +1 more source

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