Python Implementation of the ACS (Ant Colony System) algorithm. ACS is a metaheuristic algorithm inspired by the foraging behavior of ants.
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Updated
May 12, 2024 - Python
Python Implementation of the ACS (Ant Colony System) algorithm. ACS is a metaheuristic algorithm inspired by the foraging behavior of ants.
A sophisticated simulation of the Ant Colony Optimization algorithm that employs artificial ants to dynamically navigate a graph, demonstrating emergent pathfinding behaviors through pheromone-based decision-making and iterative exploration strategies.
Data Science analysis of mock supermarket data
Python based ant colony optimisation algorithm, that tackles the travelling salesman problem. Includes a graph based solution, fitness function, parameter testing and results writeup.
GPU-accelerated Ant Colony Optimization (ACO)
This repository contains the implementation of image contrast enhancement techniques using a hybrid approach that integrates Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Simulated Annealing (SA). The algorithms have been designed to improve the visual quality of images by enhancing their contrast.
Conducted research in the fusion of machine learning models to improve stock market index prediction accuracy. Evaluated individual models (LSTM, RF, LR, GRU) and compared their performance to fusion prediction models (RF-LSTM, RF-LR, RFGRU).
Continuous Assessment for ECM3412 - Nature-Inspired Computation, set by Prof. Ayah Helal (Year 3, Semester 1). Implements the ant colony optimisation algorithm to address the travelling salesperson problem for two given networks.
Research about applying reinforcement learning to realitic problems. Collects data then figure out how good reinforcement learning is.
Repository for pratical work for Natural Computation discipline.
Project ini bertujuan untuk mencari jarak terpendek untuk menyelesaikan travelling salesman problem menggunakan Algoritma Koloni Semut
Collection of metaheuristic solutions for Travelling Salesman Problem.
Simple evolutionary computation for the course Data Design Nature Inspired Computing
Swarmpy_tsp is a Python Library to easily build customizable Ant Colony Optimization pipelines for solving Traveling Salesman Problems
An implementation of ant colony optimisation and various experiments.
This is a playground for learning and working with various Optimization algorithms with a focus on real life applications.
Ant Colony Optimization algorithm in Python
Ant-based optimisation framework implemented in Cython/Python for graphs exploration.
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