OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

Na Rinha de Algoritmos você deve utilizar suas habilidades para a criação de algoritmos eficientes para resolver problemas!

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, Hernán A. Makse, Giuseppe Mangioni, Matjaž Perc and Filippo Radicchi, published at Nature Review Physics (2024). https://doi.org/10.1038/s42254-023-00676-y

Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni

A List of Papers on Theoretical Foundations of Graph Neural Networks

[IEEE TKDE | TITS 2023] "Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling" | "Neural Airport Ground Handling"

Go (golang) bindings for Picosat, the satisfiability solver

Implementation of classical problems in Computer Science in the Answer Set Solving dialect of Clingo.

finding a short spanning walk throw a connected graph (NP-HARD problem)

A particle swarm optimization algorithm implementation with simultaneous pickup and drop for medicines distribution management.

Записките ми за упражнения по "Дизайн и анализ на алгоритми"

a collection of benchmarks (in DIMACS format) for various NP-Complete problems

Scala library for solving NP-hard probems

2017华为软件精英挑战赛，基于C++实现非JS

Official Implementation of the NeurIPS'23 paper 'Maximum Independent Set: Self-Training through Dynamic Programming'.

Optimized Delegated Byzantine Fault Tolerance

A hybrid genetic algorithm for the job shop scheduling problem

Feasibility Intensive Genetic Algorithm (FIGA) for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)

Problem Solving: A Practical Workbook