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Raj Vikram

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#reinforcement learning Oct 2026

HGWO-RL: Hybrid Grey Wolf Optimization with Q-Learning Refinement for Energy-Aware Multi-Objective Task Scheduling in Heterogeneous Fog–Cloud Networks

Abstract Energy efficiency in fog-cloud IoT task scheduling has become a pressing research challenge as the number of connected devices escalates toward 75 billion. Existing metaheuristic schedulers-including the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and the vanilla G...

Manoranjan Sahoo, Raj Vikram, Rahul Priyadarshi · 0 citations

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