Andrey Kharitonov

15 papers C 9Journal 1Unranked 5
YearRankTypeTitle / Venue / Authors
2024 C conf
A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise.
ICSOFT
Andrey Kharitonov, Amro Abdalla, Abdulrahman Nahhas, Daniel Gunnar Staegemann, Christian Haertel, Christian Daase, Klaus Turowski
2024 — conf
Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems.
HICSS
Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski
2024 C conf
Reinforcement Learning for Hyper-Parameter Optimization in the context of Capacity Management of SAP Enterprise Applications.
CoDIT
Maria Chernigovskaya, Andrey Kharitonov, Abdulrahman Nahhas, Klaus Turowski
2023 — conf
A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods.
HICSS
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
2023 C conf
A Recent Publications Survey on Reinforcement Learning for Selecting Parameters of Meta-Heuristic and Machine Learning Algorithms.
CLOSER
Maria Chernigovskaya, Andrey Kharitonov, Klaus Turowski
2023 C conf
Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud.
CLOSER
Andrey Kharitonov, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski
2023 C conf
Deep Reinforcement Learning for Solving Allocation Problems in Supply Chain: An Image-Based Observation Space.
ISM
Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
2023 C conf
Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review.
ISM
Maria Chernigovskaya, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
2023 C conf
Towards hybrid-cloud infrastructure composition for SAP systems landscapes in smart manufacturing.
ISM
Andrey Kharitonov, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski
2023 — conf
Utility of Univariate Forecasting for Workload Metrics Predictions in Enterprise Applications.
KMIS
Andrey Kharitonov, Roheet Rajendran, Hendrik Müller, Klaus Turowski
2022 J jnl
Addressing IT Capacity Management Concerns Using Machine Learning Techniques.
SN Comput. Sci.
Hendrik Müller, Andrey Kharitonov, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
2022 — conf
Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C).
HICSS
Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
2022 — conf
Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics.
ACIS
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
2021 C conf
Comparative analysis of machine learning models for anomaly detection in manufacturing.
ISM
Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
2021 C conf
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times.
ISM
Abdulrahman Nahhas, Andrey Kharitonov, Ahmad Alwadi, Klaus Turowski