Bio-inspired algorithms are computational methods that mimic natural processes and behaviors to solve complex problems. These algorithms draw inspiration from biological systems, such as social behaviors in animals or physiological processes, allowing them to effectively address optimization and search problems in various fields. By leveraging the principles of evolution, cooperation, and adaptation seen in nature, these algorithms can find innovative solutions that are often more efficient than traditional methods.
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