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What is Swarm Optimization Techniques Overview about?

Swarm Optimization is a metaheuristic inspired by collective behaviors in nature, where agents cooperate to find optimal solutions across various fields. Key algorithms include Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Firefly Algorithm (FA), and Bat Algorithm (BA), each with unique mechanisms for exploration and exploitation. These algorithms are applied in engineering, machine learning, and finance, with varying strengths in optimization tasks.

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snehap3420

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EN