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.…”

Case-selection algorithms with more complicated functions for aggregating information from more than one variable. by Thomas Plümper (3902578)

“…<p>Case-selection algorithms with more complicated functions for aggregating information from more than one variable.…”

Wilcoxon rank sum test results from MWOA and 7 comparison algorithms on CEC2005 functions. by Yi-Qiang Xia (20161326)

“…<p>Wilcoxon rank sum test results from MWOA and 7 comparison algorithms on CEC2005 functions.…”

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

“…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…”

Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective by Xiangyang Jia (10026932)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Novel Computational Chemistry Infrastructure for Simulating Astatide in Water: From Basis Sets to Force Fields Using Particle Swarm Optimization by Kennet J. Rueda Espinosa (17328825)

“…In particular, we focus on developing an accurate force field for At^– in water based on reliable relativistic density functional theory (DFT) calculations. To ensure the reliability of such calculations, we design novel basis sets for relativistic DFT, via the particle swarm optimization algorithm to optimize the coefficients of the new basis sets and the polarization-consistent basis set idea’s extension to heavy elements to eliminate the basis set error from DFT calculations. …”

Different leaf species with the corresponding Mean Square Error (MSE) and RBFNN curve fitting. by Ali Ahmed (2567584)

Subjects:

Two different leaf images belonging to the same plant species and their corresponding contour feature curves. by Ali Ahmed (2567584)

Subjects:

The SVM kernel parameters optimization using Bayesian optimization. by Ali Ahmed (2567584)

Subjects:

Fig 3 - by Ali Ahmed (2567584)

Subjects:

Summarization of related literature. by Ali Ahmed (2567584)

Subjects:

The RBFNN as a classifier. by Ali Ahmed (2567584)

Subjects:

Classification parameters of the proposed three classifiers. by Ali Ahmed (2567584)

Subjects:

The SVM kernel parameters optimization using SSA optimization. by Ali Ahmed (2567584)

Subjects:

The proposed system accuracies with respect to different selected angles (number of features). by Ali Ahmed (2567584)

Subjects:

Information of nodes and pipes of NYN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

The topology of the NYN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

The result of Wilcoxon signed-rand test. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”