Visualize the free vibration modes of a flat plate with cantilever support and arbitrary tapered geometry.

Mayfly Algorithm for global optimization

G1 and G2 fitting with clothoids, circle and biarc

Toolbox for MATLAB interfacing with IPOPT

optical lens system

This package represents the MATLAB Installer add-on for the FREE of cost, NXP’s Model-Based Design Toolboxes.

MOBATSim (Model-based Autonomous Traffic Simulation Framework) is a simulation framework based on MATLAB Simulink that allows the user to as

Extension of jet colormap to include more colors. It can also be used to build virtually any custom colormaps.

Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

sklearn counterpart in matlab language to facilitate coding of machine learning.

User interface in Matlab to simulate a robot navigating a grid of barriers using the grassfire method.

Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.

The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.

a small animated movie of creating a graphic shown in image.

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement.

A novel socio-inspired meta-heuristic for global optimization.

This toolbox contains 6 types of neural networks, which is simple and easy to implement.

Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.

Application of principal component analysis (PCA) for feature reduction.