Results 51 to 60 of about 586,435 (341)
Research On Energy-saving Operation Of High-speed Trains Based On Improved Genetic Algorithm
The traditional genetic algorithm has been widely used in energy-saving optimization of train operation, but due to the uncertainty of the evolution direction of it’s population chromosomes, it has caused some problems such as a large amount of local ...
Hongxia Niu, Tao Hou, Yu Chen
doaj +1 more source
Robust Procedures for Obtaining Assembly Contact State Extremal Configurations [PDF]
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
A Modified Shuffled Frog Leaping Algorithm for PAPR Reduction in OFDM Systems [PDF]
© 2015 IEEE. Significant reduction of the peak-to-average power ratio (PAPR) is an implementation challenge in orthogonal frequency division multiplexing (OFDM) systems.
Dutkiewicz, E +5 more
core +1 more source
Genetic Algorithm for variable selection
This study aims to explore the coding of GA for variable selection. The selected variables will be later used to build a linear regression model and then report model performance. The study will consider three simple variations of GA based on population size (20, 50, 200) and then plot graphs to show whether any of these variations performed better ...
openaire +1 more source
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection
Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique is prone to premature convergence, especially of the local optimum event.
Ching Sheng Ooi +2 more
doaj +1 more source
Microsatellites are polymorphic and cost-effective. Optimizing reduced microsatellite panels using heuristic algorithms eases budget constraints in genetic diversity and population genetic assessments.
Ryan Rasoarahona +13 more
doaj +1 more source
Hybrid Based Selective Genetic Algorithm
Wireless Sensor Network WSN deployment is an active research area. Its goal is to deploy sensors in certain environment efficiently to optimize some evaluation measures. Meta heuristic searching optimization approaches have been proven to be effective in solving WSN deployment problem. They have strong power in exploring
openaire +1 more source
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert +13 more
wiley +1 more source
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié +16 more
wiley +1 more source

