Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence.

SI-based algorithms, highlighting their notable variants, their merits and demerits, and their applications. These algorithms include Genetic Algorithms (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), Glowworm Swarm Optimization (GSO), and Cuckoo Search Algorithm (CSA).

All of these algorithms have demonstrated their potential to solve many optimization problems.

A Comprehensive Review of Swarm Optimization Algorithms

What are swarm optimization techniques like Firefly, Ant Bee Colonization, etc., used for: training the ANN by weight optimization or for feature selection?


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