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 organization with no leaders and no meetings. It sounds impossible. Yet ...

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 ...

The optimization of railway operations represents a pinnacle of complexity within the field of transportation engineering. As modern rail networks transition toward higher frequencies, denser ...

Some butterfly species can’t grow unless they trick ants into taking them home with a complex rhythmic signal. By Rebecca Dzombak Rebecca Dzombak has reported on parasitic ant queens and the number of ...

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 ...

Abstract: Low earth orbit (LEO) satellite networks can provide wider service coverage and lower latency than traditional terrestrial networks, which have attracted considerable attention. However, the ...

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 ...

Ant pupae that are fatally sick don’t hide their condition; instead, they release a special scent that warns the rest of the colony. This signal prompts worker ants to open the pupae’s cocoons and ...