A new hybridized framework is proposed that integrates multi-strategy learning, decentralized consensus, and multiple pheromone-based communication for sturdy swarm operation, paving the way for resilient, self-configurable UAV swarms potential of addressing real-world reluctance through scalable and intelligent collab...
Srihari Babu Gole, Laxmi Koli, Karnam Sreenu et al.· International journal of com...· 0 citations
A hybrid nature-inspired algorithm called fruit fly optimization–ant colony optimization (FOA-ACO), which combines the exploitative ant colony optimization (ACO) and the exploratory fruit fly optimization algorithm (FOA) is suggested, which enhances overall cloud performance.
Narayana Rao Appini, K. Premnadh, Karnam Sreenu et al.· Int. J. Online Biomed. Eng.· 0 citations
An AI-enabled dynamic task scheduling framework based on Deep Reinforcement Learning (DRL) with a Deep Q-Network (DQN) model to dynamically assign tasks to virtual machines and learn the best scheduling policies by continuously interacting with the cloud environment based on system parameters such as resource availabil...
Karnam Sreenu, G. Prasadu, K. Premnadh et al.· VFAST Transactions on Softwa...· 0 citations
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