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Ant Colony Algorithms
Metaheuristics inspired by the food foraging behavior of ants using pheromones for combinatorial optimization.
Particle Swarms
Optimization algorithm based on the social behavior of bird flocks or fish schools to explore the search space.
Bee Algorithms
Optimization technique inspired by the foraging and dancing behavior of honey bees.
Artificial Immune Systems
Computational paradigm based on the principles of the natural immune system for anomaly detection and optimization.
Bacterial Algorithms
Optimization method inspired by the food search behavior and chemotaxis of bacteria.
Firefly Algorithms
Metaheuristic algorithm based on the flashing behavior of fireflies for attracting mates and prey.
Bat Algorithms
Optimization technique inspired by bat echolocation for global and local search.
Cuckoo Algorithms
Optimization algorithm based on parasitic breeding behavior of cuckoos and Lévy flights.
Fish School Algorithms
Optimization method inspired by the social behaviors of fish such as schooling and foraging.
Multi-Agent Systems
Set of autonomous agents that interact and collaborate to solve complex problems in a distributed manner.
Swarm Intelligence
Discipline studying decentralized and self-organized systems emerging from the interaction of numerous simple agents.
Quantum Ant Algorithms
Quantum variant of ant colony algorithms using principles of quantum mechanics for exploration.