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aco

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swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

  • Updated Dec 16, 2020
  • Python

A full-stack (R&D) Vehicle Routing Problem with Time Windows (VRPTW) comparison platform. Run and benchmark metaheuristic algorithms HGS, ACO, SA, GLS (v0.6.3) & ILS (v0.13+), visualize routes, tune parameters, and explore Solomon benchmark datasets—with an optional AI-assisted RAG Q&A and parameter tuning capabilities.

  • Updated Feb 21, 2026
  • TypeScript
AntHocNet

Paper-faithful AntHocNet (ant-colony ad-hoc routing): a simulator-independent C++ core, an ns-3 module, and reproducible 20-seed benchmarks vs AODV/OLSR/DSDV where every published number carries a 95% CI. Satellite/ISL scenarios. NS-2 adapter frozen at v1.2.0, removed at v2.0.0.

  • Updated Oct 9, 2026
  • C++

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