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Evolutionary Computation in Artificial Intelligence: Adapting Nature's Strategies for Smart Systems
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Author(s): Dharmesh Dhabliya (Vishwakarma Institute of Information Technology, Pune, India), Ankur Gupta (Vaish College of Engineering, Rohtak, India), Sukhvinder Singh Dari (Symbiosis Law School, Symbiosis International University (Deemed), Pune, India), Ritika Dhabliya (Yashika Journal Publications Pvt. Limited, Wardha, India), Anishkumar Dhablia (Altimetrik India Pvt. Ltd., Pune, India), Nitin N. Sakhare (BRACT'S Vishwakarma Institute of Information Technology, Pune, India)and Rohit Anand (G.B. Pant DSEU Okhla-1 Campus, New Delhi, India)
Copyright: 2024
Pages: 19
Source title:
Intelligent Decision Making Through Bio-Inspired Optimization
Source Author(s)/Editor(s): Ramkumar Jaganathan (Sri Krishna Arts and Science College, India), Shilpa Mehta (Auckland University of Technology, New Zealand)and Ram Krishan (Mata Sundri University Girls College, Mansa, India)
DOI: 10.4018/979-8-3693-2073-0.ch010
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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.
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