Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Research on self-developing optimisation algorithms

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

collection of numerical optimization methods

ODA is a non-parametric machine-learning algorithm that maximizes classification accuracy. This package provides an R-based interface for the MegaODA software suite.

Meal balancing algorithm for unsold food redistribution

Topic in Programming Models

Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.

AutoML Python package with ML models with builtin Hyperparameter Optimization and easy to use API.

Official project of BOCB (A Decade’s Battle on the Bias of Vision Backbone and Optimizer)

Computer Vision Project

Packing optimization technique, takes the inputs about the product from the user and provide with the best suitable packaging material, orientation and size which ultimately minimizes the package cost.

The R package geotopOtim2 is a plugin for the automatic calibration and sensitivity analisis of GEOtop 2.x hydrological model, based on the "Particle Swarm Optimisation" approach and the LHOAT "Latin-Hypercube One-factor-At-a-Time" approach.

Bayesian optimization using Gaussian Process regression (Python)

Jiaoyuwei个人主页

In this hackathon, the challenge is to optimize the placement of turbines to get maximum annual power output.

Used machine learning to predict and optimize the compressive strength of concrete mixtures and tested various search methods for hyperparameter tuning of a XGBoost model.

Personal notes in R of my PhD for Social Network Science related projects