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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)

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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)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 Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies., , , , and . MEDES, page 84-91. ACM, (2020)Facilitating and Enhancing the Performance of Model Selection for Energy Time Series Forecasting 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 . 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)A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics., , , , and . CoRR, (2020)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 Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics., , , , and . MEDES, page 124-131. ACM, (2020)Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments., , , , , and . GECCO Companion, page 2001-2008. ACM, (2022)