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Hatem Khalloof

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

4

Active years

2018–2023

Best venue rank

A

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2023GECCODynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Frderer, Ralf Mikut, Veit Hagenmeyer
2022GECCOFacilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.Hatem Khalloof, Sergen Ciftci, Shadi Shahoud, Clemens Dpmeier, Kevin Frderer, Veit Hagenmeyer
2022IDEALDynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution.Rafael Poppenborg, Hatem Khalloof, Malte Chlosta, Tim Hofferberth, Clemens Dpmeier, Veit Hagenmeyer
2020MEDESA Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics.Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Dpmeier, Veit Hagenmeyer
2020MEDESA Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies.Shadi Shahoud, Hatem Khalloof, Moritz Winter, Clemens Dpmeier, Veit Hagenmeyer
2019IDEALSuperlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach.Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Dpmeier, Veit Hagenmeyer
2019MEDESFacilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies.Shadi Shahoud, Sonja Gunnarsdottir, Hatem Khalloof, Clemens Dpmeier, Veit Hagenmeyer
2019PPAMA Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics.Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Dpmeier, Veit Hagenmeyer
2018GECCOA generic distributed microservices and container based framework for metaheuristic optimization.Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Dpmeier, Veit Hagenmeyer