Author : T. Tritva J Kiran 1
Date of Publication :31st October 2023
Abstract: Swarm intelligence draws inspiration from the collaboration observed in nature's creatures like ants and birds. In this paper, we explore the potential of applying swarm intelligence to enhance the optimization of deep learning models. By mimicking the cooperative behavior of particles or ants, we aim to improve the performance and accuracy of these models. Our study investigates how swarm intelligence algorithms, like Swarm Particle Optimization(PSO) and Ant Colony Optimization (ACO), can effectively navigate the complex parameter space of deep learning architectures.
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