Results 61 to 70 of about 47,854 (119)

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]

PLoS One
Jena M, Dehuri S, Cho SB.
europepmc   +1 more source

Simulation and optimization of treatment schedule for multi-gantry heavy ion therapy. [PDF]

Tech Innov Patient Support Radiat Oncol
Stolen E, Yaddanapudi S, Qian H, Yoo SK, Lu B, Park JC, Tan J, Liang X, Furutani KM, Beltran CJ, Sohn JJ.   +10 more
europepmc   +1 more source

The Role of Infill Density in Impact Localization for Additively Manufactured Structures. [PDF]

Sensors (Basel)
Altammar H.
europepmc   +1 more source

High-Dimensional Small-Sample Feature Selection Using Co-Evolutionary Ant Colony Optimization Inspired by Heterosis. [PDF]

Biomimetics (Basel)
Xiang C, Zhou J, Ye Z, Xiong Z, Song A, Song D, Sun J.   +6 more
europepmc   +1 more source

End-to-end multimodal structure elucidation from raw spectra combining contrastive learning and evolutionary algorithms. [PDF]

Nat Commun
Mirza A, Patiny L, Jablonka KM.
europepmc   +1 more source

A forward dynamics framework for parameter optimization of the EMG-driven musculoskeletal model. [PDF]

J Neuroeng Rehabil
Xie H, Wang Y, Liu T, Yan S, Zhang Y, Zhang K, Song X.   +6 more
europepmc   +1 more source

Enabling Synthetically Feasible Molecular Editing in Drug Discovery via Reaction-Regulated Graph-Based Genetic Algorithms. [PDF]

JACS Au
Moon SW, Ahn SH, Ahn JH, Kim HW.
europepmc   +1 more source

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The GA-P: a genetic algorithm and genetic programming hybrid

IEEE Expert, 1995
The GA-P performs symbolic regression by combining the traditional genetic algorithms function optimization strength with the genetic-programming paradigm to evolve complex mathematical expressions capable of handling numeric and symbolic data. This technique should provide new insights into poorly understood data relationships. >
Les M. Howard, Donna J. D'Angelo
openaire   +2 more sources

GA-Ensemble: a genetic algorithm for robust ensembles

Computational Statistics, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dong-Yop Oh, J. Brian Gray
openaire   +3 more sources

A genetic algorithm for the 1D electron gas

Physica A: Statistical Mechanics and its Applications, 2008
Abstract We show how to apply a genetic algorithm to describe the homogeneous electron gas. For simplicity we consider just the 1D case. The pair correlation function so obtained is compared with those found by using variational Monte Carlo and quantum hypernetted chain calculations and reported for the first time in this paper.
César O. Stoico, Danilo G. Renzi, Fernando Vericat   +2 more
openaire   +1 more source