Hatem Khalloof

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Data Analysis Tasks

Simulated Annealing

Top Venues

GECCO Companion

Internet Things

GECCO (Companion)

Publications

Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. GECCO Companion (2023)
Rafael Poppenborg, Hatem Khalloof, Malte Chlosta, Tim Hofferberth, Clemens Düpmeier, Veit Hagenmeyer
Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution. IDEAL (2022)
Hatem Khalloof, Sergen Ciftci, Shadi Shahoud, Clemens Düpmeier, Kevin Förderer, Veit Hagenmeyer
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments. GECCO Companion (2022)
Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics. Internet Things 16 (2021)
Shadi Shahoud, Moritz Winter, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies. Internet Things 16 (2021)
Shadi Shahoud, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting. APPIS (2020)
Hatem Khalloof, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics. CoRR (2020)
Shadi Shahoud, Sonja Gunnarsdottir, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
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. 45 (2020)
Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics. MEDES (2020)
Shadi Shahoud, Hatem Khalloof, Moritz Winter, Clemens Düpmeier, Veit Hagenmeyer
A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies. MEDES (2020)
Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach. IDEAL (1) (2019)
Shadi Shahoud, Sonja Gunnarsdottir, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies. MEDES (2019)
Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics. PPAM (1) (2019)
Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer
A generic distributed microservices and container based framework for metaheuristic optimization. GECCO (Companion) (2018)