Results 21 to 30 of about 308,123 (247)
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
doaj +1 more source
Holistic Parameter Optimization for Software Defect Prediction
A software defect prediction (SDP) model identifies the defect-prone modules. Setting appropriate parameters in an SDP model is critical because it affects the model performance.
Jaewook Lee +3 more
doaj +1 more source
An automated system for program parameters fine tuning in the cloud [PDF]
The paper presents a software system aimed at finding best (in some sense) parameters of an algorithm. The system handles both discrete and continuous parameters and employs massive parallelism offered by public clouds.
S. A. Smirnov, A. S. Tarasov
doaj +1 more source
Adaptive LADRC Parameter Optimization in Magnetic Levitation
In this study, an adaptive linear active disturbance rejection control is proposed to achieve steady levitation of the magnetic levitation ball. The proposed algorithm was designed and its convergence was proven via derivation.
Qinghua Ouyang +3 more
doaj +1 more source
Video Superresolution via Parameter‐Optimized Particle Swarm Optimization [PDF]
Video superresolution (VSR) aims to reconstruct a high‐resolution video sequence from a low‐resolution sequence. We propose a novel particle swarm optimization algorithm named as parameter‐optimized multiple swarms PSO (POMS‐PSO). We assessed the optimization performance of POMS‐PSO by four standard benchmark functions.
Yan, Yunyi +3 more
openaire +1 more source
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source
Automated Optimization of Potential Parameters [PDF]
An algorithm and software to refine parameters of empirical energy functions according to condensed phase experimental measurements are discussed. The algorithm is based on sensitivity analysis and local minimization of the differences between experiment and simulation as a function of potential parameters.
Di Pierro, Michele, Elber, Ron
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Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
An RRAM Biasing Parameter Optimizer [PDF]
Research on memory devices is a highly active field, and many new technologies are being constantly developed. However, characterizing them and understanding how to bias for optimal performance are becoming an increasingly tight bottleneck. Here, we propose a novel technique for extracting biasing parameters, conducive to desirable switching behavior ...
Serb, Alexantrou +2 more
openaire +3 more sources

