ANT COLONY OPTIMIZATION

Ant Colony Optimization (ACO) is an optimization algorithm inspired by the collective foraging behavior of ant colonies. The technique mimics how ants find optimal paths between their nest and food sources through indirect communication via pheromone trails. ACO is particularly well-suited for drone applications because it naturally handles multi-objective optimization, scales well with problem complexity, and provides robust solutions even with incomplete information. The algorithm's distributed nature aligns well with the decentralized requirements of drone swarms, while its ability to adapt to changing conditions matches the dynamic nature of aerial operations.

ACO000 - Ant Colony Optimization Research Questions
ACO001 - Foundational Studies
ACO002 - Drone-Specific Applications
ACO003 - Implementation and Performance
ACO004 - Current Research