Hybrid Grey Wolf Optimizer with discrete prism dispersion strategy for solving flexible job-shop scheduling problem. [PDF]
Sci RepDuan Y, Shi L, Li M, Hua K, Liu T, He L.
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Modular scheduling of tightly coupled production lines. [PDF]
J Intell ManufMarcè I Igual J +3 more
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Sensor Driven Resource Optimization Framework for Intelligent Fog Enabled IoHT Systems. [PDF]
Sensors (Basel)Khan S +5 more
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Evaluating Bio-Inspired Metaheuristics for Dynamic Surgical Scheduling: A Resilient Three-Stage Flow Shop Model Under Stochastic Emergency Arrivals. [PDF]
Biomimetics (Basel)Becerra-Rozas M +8 more
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A hybrid evolutionary framework for efficient IoT task scheduling in fog computing. [PDF]
Sci RepCui L.
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Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand. [PDF]
Sci RepWu X.
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Energy-efficient scheduling of AGV-assisted robotic flexible flowshops under learning and processing time uncertainty. [PDF]
Sci RepDehnavi S, Mokhtari H, Rezvan MT.
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NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]
Sci RepYu X +6 more
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Improved multi-strategy secretary bird optimization for efficient IoT task scheduling in fog cloud computing. [PDF]
Sci RepSangeetha K, Kanthimathi M.
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Kademlia hash snow ablation resource optimized stride scheduling for mobile computing services in healthcare sector. [PDF]
Sci RepSivakumar NR.
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