| 2025 | EMO | Multi-objective Multi-agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments. | Franz Herm, Atanu Mazumdar, Tinkle Chugh |
| 2025 | GECCO | Nested Multi-objective Model Updating for an Aircraft Wingtail Digital Twin. | Jake Hollins, Konstantinos Agathos, Tinkle Chugh |
| 2025 | GECCO | BEACON: Continuous Bi-objective Benchmark problems with Explicit Adjustable COrrelatioN control. | Samuel Tebbet, George De Ath, Tinkle Chugh |
| 2024 | GECCO | Is greed still good in multi-objective Bayesian optimisation? | Frederico Leite Richardson, George De Ath, Tinkle Chugh |
| 2023 | EMO | Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. | Arnaud Liefooghe, Sbastien Vrel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2022 | GECCO | MBORE: multi-objective Bayesian optimisation by density-ratio estimation. | George De Ath, Tinkle Chugh, Alma A. M. Rahat |
| 2022 | GECCO | R-MBO: a multi-surrogate approach for preference incorporation in multi-objective bayesian optimisation. | Tinkle Chugh |
| 2022 | GECCO | Mono-surrogate vs multi-surrogate in multi-objective bayesian optimisation. | Tinkle Chugh |
| 2022 | GECCO | Wind farm layout optimisation using set based multi-objective bayesian optimisation. | Tinkle Chugh, Endi Ymeraj |
| 2022 | PPSN | Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. | Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2021 | GECCO | Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets. | Tinkle Chugh, Manuel Lpez-Ibez |
| 2020 | CEC | Scalarizing Functions in Bayesian Multiobjective Optimization. | Tinkle Chugh |
| 2019 | EMO | On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization. | Atanu Mazumdar, Tinkle Chugh, Kaisa Miettinen, Manuel Lpez-Ibez |
| 2019 | GECCO | Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm. | Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen |
| 2019 | GECCO | A feature rich distance-based many-objective visualisable test problem generator. | Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen |
| 2018 | GECCO | Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. | Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen |
| 2017 | CEC | Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system. | Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Yaochu Jin, Tomas Kratky, Pekka Makkonen |
| 2016 | PPSN | On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. | Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin |
| 2015 | EMO | An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems. | Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen |