🗺️ Visualize and control algorithms for the traveling salesman problem

Tries to create a list of popular movies based on a series of heuristics

A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

Java 3D Astar Pathfinding Library

a python grammar for evolutionary algorithms and heuristics

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)

Coursera's Data Structures and Algorithms Specialization

Notes on software systems engineering.

Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.

Humble 3D knapsack / bin packing solver

An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.

Next-generation firewall (NGFW) that supports blocking SocialClub Overlay notifications.

OptFrame - C++17/C++20/C++23 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, etMu

Some usefull info when reverse engineering Kernel Mode Anti-Cheat

ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.

A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning

A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .