Bandit and Evolutionary Algorithms using Python
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Updated
Feb 11, 2021 - Python
Bandit and Evolutionary Algorithms using Python
Algoritmos da aula de computação inspirada pela natureza.
Swarmpy_tsp is a Python Library to easily build customizable Ant Colony Optimization pipelines for solving Traveling Salesman Problems
The cMIBACO implementation for lightly robust solutions in MOGenConVRP under uncertainty.
This project is about to find the component failure before it happens in the future. Therefore, a new approach is applied optimization algorithm called Ant colony optimization. This is a preliminary step for this project and still improving on it.
Repository for pratical work for Natural Computation discipline.
UAV Power Consumtion for Survivability in WPT WSN application
This web application solves the Traveling Salesman Problem (TSP) using three optimization algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO).ty. The repository provides implementations of three optimization al
TSP - Ant Colony Optimization
Applying the Ant Colony Optimization (ACO) and Simulated Annealing (SA) algorithms to solve the Travelling Salesperson Problem
Simple Python script to extract and generate Adobe Color Swatch (.aco) files
Implementation of the Ant Colony Optimization (ACO) algorithm for solving both the classical Travelling Salesman Problem (TSP) and a variant thereof with additional non-mandatory nodes. Additionally, implementing a few variants of ACO and comparing the results.
An implementation of the Ant Colony optimization algorithm (ACO) for the capacitated vehicle routing problem (CVRP) for bike sharing rebalancing
Python Implementation of Traveling Salesman Problem (TSP) Using Genetic Algorithms/Hybridized with more Heuristic Optimizations
Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.
Employing Ant Colony Optimization algorithm to solve maximum clique problem
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