Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

“…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

“…<p>Illustration of methods based on Green’s function first-passage algorithms.…”

Comparison of algorithms in two cases. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

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)

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

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

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

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

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

Algorithm 1. by Muhammad Zubair Rehman (11243478)

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Performance metrics of 28 and 9 SNPs in predicting NPC. by Ka Wo Wong (18625847)

Subjects:

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. …”

Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

“…<p>A hybrid algorithm based on improved threshold function and wavelet transform.…”

Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

“…<p>Performance profile of the four algorithms based on the function value of iteration number.…”

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”