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Combining Machine Learning and Genetic Algorithms to Solve the Independent Tasks Scheduling Problem.

, and . CYBCONF, page 1-8. IEEE, (2017)

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Combining Machine Learning and Genetic Algorithms to Solve the Independent Tasks Scheduling Problem., and . CYBCONF, page 1-8. IEEE, (2017)Comparison of Green Light Optimal Speed Advisory approaches., , and . ITSC, page 2187-2192. IEEE, (2013)Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks., , , , and . Program. Comput. Softw., 45 (8): 544-556 (2019)Using Complex Network Topologies and Self-Organizing Maps for Time Series Prediction., and . NOSTRADAMUS, volume 210 of Advances in Intelligent Systems and Computing, page 323-332. Springer, (2013)Efficient Heuristics for Profit Optimization of Virtual Cloud Brokers., , and . IEEE Comput. Intell. Mag., 10 (1): 33-43 (2015)Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences., , , and . Future Gener. Comput. Syst., (2020)Parallel virtual savant for the heterogeneous computing scheduling problem., , , , and . J. Comput. Sci., (2020)Analyzing the Influence of LLVM Code Optimization Passes on Software Performance., , , and . IPMU (3), volume 855 of Communications in Computer and Information Science, page 272-283. Springer, (2018)Finding the Most Influential Parameters of Coalitions in a PSO-CO Algorithm., , , and . IPMU (3), volume 855 of Communications in Computer and Information Science, page 284-296. Springer, (2018)Virtual Machine Planning for Cloud Brokering Considering Geolocation and Data Transfer., , , , and . CloudCom, page 352-359. IEEE Computer Society, (2016)