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Adaptive Scheduling In Dynamic Environments: A Data-Driven Approach With Digital Twins And Deep Reinforcement Learning., , and . DTPI, page 1-6. IEEE, (2023)Integrating estimation of distribution algorithms versus Q-learning into Meta-RaPS for solving the 0-1 multidimensional knapsack problem., and . Comput. Ind. Eng., (2017)Evaluating the impact of shared situational awareness on combat effectiveness in symmetric engagements., , , , and . Int. J. Simul. Process. Model., 16 (3): 199-211 (2021)Data Mining based Hybridization of Meta-RaPS., and . Complex Adaptive Systems, volume 36 of Procedia Computer Science, page 301-307. Elsevier, (2014)Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data., , , and . CoRR, (2021)Towards Digital Engineering - The Advent of Digital Systems Engineering., , , , , , , , , and 4 other author(s). Int. J. Syst. Syst. Eng., (2020)A simulation-based optimization approach for multi-objective runway operations scheduling., and . Simul., 98 (11): 991-1012 (2022)Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach., and . ICMLA, page 1267-1272. IEEE, (2023)Minimizing the total weighted completion time on unrelated parallel machines with stochastic times., and . WSC, page 2141-2147. IEEE Computer Society, (2005)Employing Learning to Improve the Performance of Meta-RaPS., and . Complex Adaptive Systems, volume 20 of Procedia Computer Science, page 46-51. Elsevier, (2013)