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Understanding the Bat Algorithm for Optimization

The bat algorithm (BA) is a bio-inspired optimization method based on how microbats use echolocation to detect prey. Bats emit ultrasonic pulses, adjust frequency and loudness based on proximity to targets, and fly randomly to optimize their search. The algorithm implements movement of virtual bats with frequency tuning and parameter control for effective exploration and exploitation. Loudness and pulse emission rates are updated as iterations progress to improve solutions.

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Understanding the Bat Algorithm for Optimization

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