Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

“…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”

Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

PDBbind v.2013 core set prepared by GMMSB Grupo de Modelagem Molecular em Sistemas Biológicos (17628480)

Average mean values by algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

Subjects:

Standard deviation (SD) of algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

Subjects:

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

Subjects:

Performance comparison of recent and effective algorithms for minimizing error-based cost functions. by Davut Izci (15927452)

Subjects:

An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 100. by Haiming Du (6691646)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 30. by Haiming Du (6691646)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 50. by Haiming Du (6691646)

Algorithm 1. by Muhammad Zubair Rehman (11243478)

Subjects:

Taguchi L9 orthogonal array for parameter sensitivity. by Zhongfeng Li (3965060)

Subjects:

Simulation results by genetic algorithms (GAs). by Yuji Omachi (15307241)

Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

Subjects:

Frequency of binding site usage as a function of binding site length. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

Asymptotic estimates of means and variances for the max-min normalized <i>L</i>₁ and <i>L</i>₂ distance distributions commonly used in Relief-based algorithms... by Bryan A. Dawkins (10113319)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

“…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…”

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”