Hatem Khalloof

According to our database, Hatem Khalloof authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments.

Hatem Khalloof

PhD thesis, 2023

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.

Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

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

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.

Hatem Khalloof, Sergen Ciftci, Shadi Shahoud, Clemens Düpmeier, Kevin Förderer, Veit Hagenmeyer

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

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

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

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 Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics.

Hatem Khalloof, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer

CoRR, 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

Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020

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

Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

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

Proceedings of the Parallel Processing and Applied Mathematics, 2019

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

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018