Hatem Khalloof

15 papers C 4Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2023 — —
A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments.
Hatem Khalloof
2023 — conf
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.
GECCO Companion
Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
2022 C conf
Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution.
IDEAL
Rafael Poppenborg, Hatem Khalloof, Malte Chlosta, Tim Hofferberth, Clemens Düpmeier, Veit Hagenmeyer
2022 — conf
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.
GECCO Companion
Hatem Khalloof, Sergen Ciftci, Shadi Shahoud, Clemens Düpmeier, Kevin Förderer, Veit Hagenmeyer
2021 J jnl
A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics.
Internet Things
Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
2021 J jnl
An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies.
Internet Things
Shadi Shahoud, Moritz Winter, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
2020 C conf
A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics.
MEDES
Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
2020 C conf
A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies.
MEDES
Shadi Shahoud, Hatem Khalloof, Moritz Winter, Clemens Düpmeier, Veit Hagenmeyer
2020 J jnl
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics.
CoRR
Hatem Khalloof, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
2020 — conf
Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting.
APPIS
Shadi Shahoud, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
2020 J jnl
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.
Trans. Large Scale Data Knowl. Centered Syst.
Shadi Shahoud, Sonja Gunnarsdottir, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
2019 — conf
A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics.
PPAM (1)
Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
2019 C conf
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies.
MEDES
Shadi Shahoud, Sonja Gunnarsdottir, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
2019 — conf
Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach.
IDEAL (1)
Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
2018 — conf
A generic distributed microservices and container based framework for metaheuristic optimization.
GECCO (Companion)
Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer