Solution of some Scheduling Problems using Simulated Annealing
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Updated
Jul 4, 2024 - C
Solution of some Scheduling Problems using Simulated Annealing
This is Push Swap, a 42 project about sorting a stack with limited movements... but i choose to solve it with a stochastic perspective.
2-opt python library implemented in c
TSP optimization, Operations Research 2 project, UniPD 2022/23
Lennard Jones system optimization using the Metropolis Hastings and Simulated Annealing algorithms.
LVB phylogeny reconstruction software.
C Program to implement the concept of "Simulated Annealing" to solve the Travelling Salesman Problem.
Reinforcement Learning with tabular methods: TD-learning (Q-learning and SARSA) and MENACE-like approach applied to a Rubik's cube with a move set restricted to 180-degree turns.
Operational Research 2 - PROJECT
C program that applies metaheuristic simulated annealing to the Travelling Salesman problem.
This project focuses on implementing existing artificial intelligence algorithms in games and providing a comparison of the used algorithms.
An implementation of Coupled Simulated Annealing methaeuristics using parallelism with OpenMP.
Procedural Block Painter. Experiments in procedural art generation.
A C implementation of the Dual Representation Simulated Annealing (DRSA) [1] for the bandwidth minimization problem.
Heuristic Solver for the Multidimensional Knapsack Problem
Generator of best schedules for my Uncle's workers
Hill climbing algorithms and simple applications on functions
Timetabling Problem
Python C module for the Rig simulated annealing placer C kernel
Refactored AMOSA, Archived Multi Objective Simulated Annealing, implementation in C based on the code written by Sriparna Saha.
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