AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Python bindings for OptFrame C++ Functional Core

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.

Algorithms for creating short forms based on psychometric principles.

C++ metaheuristics modeler/solver for general integer optimization problems.

RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms

Implementation of various metaheuristic algorithms in C++ and Python

Artificial Intelligence (IA) First Project

Implementation of the tabu search algorithm used in my thesis. The problem in the thesis is political districting.

PWr, kurs Projektowanie efektywnych algorytmów, projekt nr 2

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

Solving the TSP problem using various algorithms

This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.

A simple Quadratic Assignment Problem solver using heuristics and metaheuristics

Hitori (NP-complete) solver using different approaches (tabu search and linear programming)

Reinforcement learning driven TabuCol, for solving the graph coloring problem

Tabu Search implementation for the Knapsack problem.

Python program for aggregation and reaction

HS Research Project combining Tabu search and Genetic Algorithm for Timetable Scheduling