Abstract: In IoT-enabled fog-cloud systems, energy-efficient task scheduling presents a significant problem due to fluctuating workloads, different resources, and demanding deadline requirements.
Abstract: This work introduces a systematic methodology for optimizing the parameters of a Genetic Algorithm (GA) applied to the Permutation Flow Shop Scheduling Problem (PFSSP). Effective parameter ...
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