A generic distributed microservices and container based framework for metaheuristic optimization. - Hatem Khalloof; Wilfried Jakob; Jianlei Liu; Eric Braun; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (GECCO (Companion), 2018)

Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach. - Hatem Khalloof; Phil Ostheimer; Wilfried Jakob; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (IDEAL (1), 2019)

A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics. - Hatem Khalloof; Phil Ostheimer; Wilfried Jakob; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (PPAM (1), 2019)

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting. - Shadi Shahoud; Hatem Khalloof; Clemens Düpmeier; Veit Hagenmeyer (APPIS, 2020)

A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies. - Shadi Shahoud; Hatem Khalloof; Moritz Winter; Clemens Düpmeier; Veit Hagenmeyer (MEDES, 2020)

A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics. - Hatem Khalloof; Wilfried Jakob; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (CoRR, 2020)

Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies. - Shadi Shahoud; Sonja Gunnarsdottir; Hatem Khalloof; Clemens Düpmeier; Veit Hagenmeyer (Trans. Large Scale Data Knowl. Centered Syst., 2020)

A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics. - Hatem Khalloof; Mohammad Mohammad; Shadi Shahoud; Clemens Düpmeier; Veit Hagenmeyer (Internet Things, 2021)

An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies. - Shadi Shahoud; Moritz Winter; Hatem Khalloof; Clemens Düpmeier; Veit Hagenmeyer (Internet Things, 2021)

Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments. - Hatem Khalloof; Sergen Ciftci; Shadi Shahoud; Clemens Düpmeier; Kevin Förderer; Veit Hagenmeyer (GECCO Companion, 2022)

Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution. - Rafael Poppenborg; Hatem Khalloof; Malte Chlosta; Tim Hofferberth; Clemens Düpmeier; Veit Hagenmeyer (IDEAL, 2022)

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. - Rafael Poppenborg; Kaleb Phipps; Hatem Khalloof; Kevin Förderer; Ralf Mikut; Veit Hagenmeyer (GECCO Companion, 2023)

A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments. - Hatem Khalloof (2023)