The assignment of a transportation course for my first year as a graduate student, solved the bilevel programming problem using GA algorithm and T-F algorithm.

Solve TSP problem using GA, VNS, SA；用遗传算法、变邻域搜索、退火算法解决旅行商问题。

Webapps using Flask for implementation of machine learning sentiment prediction with feature selection PSO and GA with SVM as classifier

mlopt is an AutoML library. Implementing some meta-heuristics optimization algorithms to generate fully trained and hyper parameterized ML models. The most used are Genetic Algorithm, PSO Algorithm and ACO Algorithm.

In fact, this tool is a genetic engine that you can use in your projects and this tool is presented as an open source and you can participate in its development and this is a prototype.

Bio-Inspired Artificial Intelligence (Evolutionary Computing) Algorithms using Python and Matlab.

Solving NP-Complete problems using Genetic Algorithms and Evolution Strategy for my Computational Intelligence course. In the first problem, I have solved the Steiner Tree Problem using Genetic Algorithms. The second problem is an optimization problem, I have implemented an ES algorithm to find the global minimum of the Eggholder function. For t…

My master thesis, that is about IWO algorithm

Intelligent-Systems-Theory-and-Practice