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Evolutionary Computation in Artificial Intelligence

Dharmesh Dhabliya, Ankur Gupta, Sukhvinder Singh Dari, Ritika Dhabliya, Anishkumar Dhablia, Nitin N. Sakhare, Rohit Anand

Year
2024
Citations
6

Abstract

In the realm of robotics and artificial intelligence, researchers often draw inspiration from the intricate and efficient systems found in the animal kingdom. For instance, the study of swarm intelligence, inspired by the collective behavior of insects like ants or bees, has led to the development of algorithms for autonomous drones and robotic systems that can collaboratively solve complex problems. The adaptation of nature's strategies for smart systems showcases the potential for interdisciplinary collaboration between biology and technology. By understanding and emulating the efficiency, adaptability, and sustainability observed in natural systems, scientists and engineers continue to push the boundaries of innovation, creating smart systems that are not only technologically advanced but also environmentally conscious and resilient.

Keywords

AdaptabilityArtificial intelligenceRealmDroneAdaptation (eye)Swarm intelligenceComputer scienceSwarm roboticsRoboticsEngineering

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