Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

Abstract: Ant Colony Optimization (ACO) is a heuristic algorithm that has been widely used to solve combinatorial optimization problems. However, determining heuristic measures and initial pheromones ...

Imagine trying to build a house without a blueprint, find a shortcut through an unfamiliar city without a map, or govern a large organisation with no leaders and no meetings. It sounds impossible. Yet ...

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Ant Colony Optimization (ACO) is a bio-inspired metaheuristic that models the foraging behaviour of ant colonies to solve complex optimisation tasks. When applied to data classification, ACO ...

A few months ago, I awoke to find a streak spanning the length of my kitchen wall that looked like it had been drawn there with thick black crayon. This was confounding, given that I live alone, save ...

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony ...

Go program that implements max flow and Dijkstra's algorithms to find the fastest way to move N amount of ants from the room A to the room B aka solve ants colony optimization problem Go library and ...