Andrey Kharitonov

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Scheduling Problem

Top Venues

SN Comput. Sci.

Publications

Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski
Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. HICSS (2024)
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods. HICSS (2023)
Andrey Kharitonov, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski
Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud. CLOSER (2023)
Andrey Kharitonov, Roheet Rajendran, Hendrik Müller, Klaus Turowski
Utility of Univariate Forecasting for Workload Metrics Predictions in Enterprise Applications. KMIS (2023)
Maria Chernigovskaya, Andrey Kharitonov, Klaus Turowski
A Recent Publications Survey on Reinforcement Learning for Selecting Parameters of Meta-Heuristic and Machine Learning Algorithms. CLOSER (2023)
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics. ACIS (2022)
Hendrik Müller, Andrey Kharitonov, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
Addressing IT Capacity Management Concerns Using Machine Learning Techniques. SN Comput. Sci. 3 (1) (2022)
Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). HICSS (2022)
Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Comparative analysis of machine learning models for anomaly detection in manufacturing. ISM (2021)
Abdulrahman Nahhas, Andrey Kharitonov, Ahmad Alwadi, Klaus Turowski
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times. ISM (2021)