Optimization of a high-temperature thermoelectric generator using semiconductor devices via a genetic algorithm-driven design. [PDF]
Mahdavian M +3 more
europepmc +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
A Reinforcement Learning-Guided Genetic Algorithm Integrating Medicinal Chemistry-Inspired Molecular Transformations. [PDF]
Alberga D +5 more
europepmc +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Application of Improved Genetic Algorithm Based on Voronoi Partitioning in Pseudolite Deployment for Tunnel Positioning Systems. [PDF]
Xie K, Cai C, Yang Z, Pan J.
europepmc +1 more source
Special Issue on Genetic Algorithms. Genetic Algorithms and Genetic Search.
openaire +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Course assessment model in vocational education based on BPNN optimized by genetic algorithm. [PDF]
Luo W, Zang L, Liang W, Ma Q, Chu J.
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Enhancing biomedical signals through genetic algorithm optimized Exponentiated transmuted weibull denoising techniques. [PDF]
Sayedelahl MA, Farouk RM, Adam AM.
europepmc +1 more source

