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Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach.

, , , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 386-393. Springer, (2019)

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A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies., , , , and . MEDES, page 84-91. ACM, (2020)Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling., , , , , and . GECCO Companion, page 755-758. ACM, (2023)A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics., , , , , and . PPAM (1), volume 12043 of Lecture Notes in Computer Science, page 432-444. Springer, (2019)A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments.. Karlsruhe Institute of Technology, Germany, (2023)Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies., , , , and . Trans. Large Scale Data Knowl. Centered Syst., (2020)Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies., , , , and . MEDES, page 80-87. ACM, (2019)Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting., , , and . APPIS, page 25:1-25:6. ACM, (2020)Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution., , , , , and . IDEAL, volume 13756 of Lecture Notes in Computer Science, page 513-524. Springer, (2022)Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach., , , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 386-393. Springer, (2019)A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics., , , , and . CoRR, (2020)