On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization. - Atanu Mazumdar; Tinkle Chugh; Kaisa Miettinen; Manuel López-Ibáñez 001 (EMO, 2019)

An Interactive Framework for Offline Data-Driven Multiobjective Optimization. - Atanu Mazumdar; Tinkle Chugh; Jussi Hakanen; Kaisa Miettinen (BIOMA, 2020)

Interactive evolutionary multiobjective optimization with modular physical user interface. - Atanu Mazumdar; Stefan Otayagich; Kaisa Miettinen (GECCO Companion, 2022)

Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations. - Bhupinder Singh Saini; Michael Emmerich 001; Atanu Mazumdar; Bekir Afsar; Babooshka Shavazipour; Kaisa Miettinen (J. Glob. Optim., 2022)

Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization. - Atanu Mazumdar; Tinkle Chugh; Jussi Hakanen; Kaisa Miettinen (IEEE Trans. Evol. Comput., 2022)

Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems. - Atanu Mazumdar; Manuel López-Ibáñez 001; Tinkle Chugh; Jussi Hakanen; Kaisa Miettinen (Evol. Comput., 2023)

Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control. - Atanu Mazumdar; Ville Kyrki (EvoApplications@EvoStar, 2024)

Interactive Evolutionary Multiobjective Optimization of Primer Design with Uncertain Objectives. - Atanu Mazumdar; Bhavya Jain; Monisha Mitra; Prodyut Dhar (GECCO, 2024)

Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design. - Atanu Mazumdar; Jana Burkotová; Tomas Kratky; Tinkle Chugh; Kaisa Miettinen (Eng. Appl. Artif. Intell., 2024)

Multi-objective Multi-agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments. - Franz Herm; Atanu Mazumdar; Tinkle Chugh (EMO (2), 2025)