A Cellular Genetic Algorithm for scheduling applications and energy-aware communication optimization. - Mateusz Guzek; Johnatan E. Pecero; Bernabé Dorronsoro; Pascal Bouvry; Samee Ullah Khan (HPCS, 2010)

Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems. - Cesar O. Diaz; Mateusz Guzek; Johnatan E. Pecero; Pascal Bouvry; Samee Ullah Khan (CIT, 2011)

Energy-aware fast scheduling heuristics in heterogeneous computing systems. - Cesar O. Diaz; Mateusz Guzek; Johnatan E. Pecero; Grégoire Danoy; Pascal Bouvry; Samee Ullah Khan (HPCS, 2011)

Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters. - Johnatan E. Pecero; Bernabé Dorronsoro; Mateusz Guzek; Pascal Bouvry (Handbook of Energy-Aware and Green Computing, 2012)

ParaMoise: increasing capabilities of parallel execution and reorganization in an organizational model. - Mateusz Guzek; Grégoire Danoy; Pascal Bouvry (AAMAS, 2013)

A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers. - Mateusz Guzek; Dzmitry Kliazovich; Pascal Bouvry (CloudCom (1), 2013)

A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. - Mateusz Guzek; Sébastien Varrette; Valentin Plugaru; Johnatan E. Pecero; Pascal Bouvry (EE-LSDS, 2013)

System Design and Implementation Decisions for ParaMoise Organizational Model. - Mateusz Guzek; Grégoire Danoy; Pascal Bouvry (FedCSIS, 2013)

Using data-flow analysis in MAS for power-aware HPC runs. - Sébastien Varrette; Grégoire Danoy; Mateusz Guzek; Pascal Bouvry (HPCS, 2013)

HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors. - Sébastien Varrette; Mateusz Guzek; Valentin Plugaru; Xavier Besseron; Pascal Bouvry (SBAC-PAD, 2013)

HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware. - Sébastien Varrette; Valentin Plugaru; Mateusz Guzek; Xavier Besseron; Pascal Bouvry (ICPP Workshops, 2014)

ParaMASK: A Multi-Agent System for the efficient and dynamic adaptation of HPC workloads. - Mateusz Guzek; Xavier Besseron; Sébastien Varrette; Grégoire Danoy; Pascal Bouvry (ISSPIT, 2014)

Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems. - Mateusz Guzek; Johnatan E. Pecero; Bernabé Dorronsoro; Pascal Bouvry (Appl. Soft Comput., 2014)

A holistic model of the performance and the energy efficiency of hypervisors in a high-performance computing environment. - Mateusz Guzek; Sébastien Varrette; Valentin Plugaru; Johnatan E. Pecero; Pascal Bouvry (Concurr. Comput. Pract. Exp., 2014)

HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers. - Mateusz Guzek; Dzmitry Kliazovich; Pascal Bouvry (CLOUD, 2015)

An Evaluation Model for Selecting Cloud Services from Commercially Available Cloud Providers. - Shyam S. Wagle; Mateusz Guzek; Pascal Bouvry; Raymond Bisdorff (CloudCom, 2015)

Cloud service providers ranking based on service delivery and consumer experience. - Shyam S. Wagle; Mateusz Guzek; Pascal Bouvry (CloudNet, 2015)

Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. - Joseph Emeras; Sébastien Varrette; Mateusz Guzek; Pascal Bouvry (JSSPP, 2015)

A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing [Review Article]. - Mateusz Guzek; Pascal Bouvry; El-Ghazali Talbi (IEEE Comput. Intell. Mag., 2015)

Cloud Brokering: Current Practices and Upcoming Challenges. - Mateusz Guzek; Alicja Gniewek; Pascal Bouvry; Jedrzej Musial; Jacek Blazewicz (IEEE Cloud Comput., 2015)

Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially Available Cloud Providers. - Shyam S. Wagle; Mateusz Guzek; Pascal Bouvry; Raymond Bisdorff (CLOUD, 2016)

Service Performance Pattern Analysis and Prediction of Commercially Available Cloud Providers. - Shyam S. Wagle; Mateusz Guzek; Pascal Bouvry (CloudCom, 2016)

A Novel Co-evolutionary Approach for Constrained Genetic Algorithms. - Emmanuel Kieffer; Mateusz Guzek; Grégoire Danoy; Pascal Bouvry; Anass Nagih (GECCO (Companion), 2016)

Achieving Energy Efficiency in Cloud Brokering. - Lin Wang 015; Lei Jiao 002; Mateusz Guzek; Dzmitry Kliazovich; Pascal Bouvry (CoRR, 2016)

Minimum Dependencies Energy-Efficient Scheduling in Data Centers. - Mateusz Zotkiewicz; Mateusz Guzek; Dzmitry Kliazovich; Pascal Bouvry (IEEE Trans. Parallel Distributed Syst., 2016)

Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. - Robbert Reijnen; Yingqian Zhang 001; Zaharah Allah Bukhsh; Mateusz Guzek (SSCI, 2022)

Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. - Robbert Reijnen; Yingqian Zhang 001; Zaharah Allah Bukhsh; Mateusz Guzek (GECCO Companion, 2023)

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. - Andrea Tirinzoni; Ahmed Touati; Jesse Farebrother; Mateusz Guzek; Anssi Kanervisto; Yingchen Xu; Alessandro Lazaric; Matteo Pirotta (ICLR, 2025)