An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems. - Tinkle Chugh; Karthik Sindhya; Jussi Hakanen; Kaisa Miettinen (EMO (1), 2015)

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. - Tinkle Chugh; Karthik Sindhya; Kaisa Miettinen; Jussi Hakanen; Yaochu Jin (PPSN, 2016)

Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. - Jussi Hakanen; Tinkle Chugh; Karthik Sindhya; Yaochu Jin; Kaisa Miettinen (SSCI, 2016)

Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system. - Tinkle Chugh; Karthik Sindhya; Kaisa Miettinen; Yaochu Jin; Tomas Kratky; Pekka Makkonen (CEC, 2017)

Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. - Tinkle Chugh; Richard Allmendinger 001; Vesa Ojalehto; Kaisa Miettinen (GECCO, 2018)

A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. - Tinkle Chugh; Yaochu Jin; Kaisa Miettinen; Jussi Hakanen; Karthik Sindhya (IEEE Trans. Evol. Comput., 2018)

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)

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 (GECCO, 2019)

A feature rich distance-based many-objective visualisable test problem generator. - Jonathan E. Fieldsend; Tinkle Chugh; Richard Allmendinger 001; Kaisa Miettinen (GECCO, 2019)

Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels. - Tinkle Chugh; Alma A. M. Rahat; Pramudita Satria Palar (LOD, 2019)

A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms. - Tinkle Chugh; Karthik Sindhya; Jussi Hakanen; Kaisa Miettinen (Soft Comput., 2019)

A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. - Ahsanul Habib; Hemant Kumar Singh; Tinkle Chugh; Tapabrata Ray; Kaisa Miettinen (IEEE Trans. Evol. Comput., 2019)

Data-Driven Evolutionary Optimization: An Overview and Case Studies. - Yaochu Jin; Handing Wang; Tinkle Chugh; Dan Guo; Kaisa Miettinen (IEEE Trans. Evol. Comput., 2019)

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

Scalarizing Functions in Bayesian Multiobjective Optimization. - Tinkle Chugh (CEC, 2020)

Towards Better Integration of Surrogate Models and Optimizers. - Tinkle Chugh; Alma A. M. Rahat; Vanessa Volz; Martin Zaefferer (High-Performance Simulation-Based Optimization, 2020)

Surrogate-Assisted Evolutionary Optimization of Large Problems. - Tinkle Chugh; Chaoli Sun; Handing Wang; Yaochu Jin (High-Performance Simulation-Based Optimization, 2020)

Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets. - Tinkle Chugh; Manuel López-Ibáñez 001 (GECCO Companion, 2021)

What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation? - Clym Stock-Williams; Tinkle Chugh; Alma A. M. Rahat; Wei Yu (CoRR, 2021)

Empirical Investigation of MOEAs for Multi-objective Design of Experiments. - Alexander Evans; Tinkle Chugh (EA, 2022)

MBORE: multi-objective Bayesian optimisation by density-ratio estimation. - George De Ath; Tinkle Chugh; Alma A. M. Rahat (GECCO, 2022)

R-MBO: a multi-surrogate approach for preference incorporation in multi-objective bayesian optimisation. - Tinkle Chugh (GECCO Companion, 2022)

Mono-surrogate vs multi-surrogate in multi-objective bayesian optimisation. - Tinkle Chugh (GECCO Companion, 2022)

Wind farm layout optimisation using set based multi-objective bayesian optimisation. - Tinkle Chugh; Endi Ymeraj (GECCO Companion, 2022)

Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. - Alma A. M. Rahat; Tinkle Chugh; Jonathan E. Fieldsend; Richard Allmendinger 001; Kaisa Miettinen (PPSN (1), 2022)

A Visualizable Test Problem Generator for Many-Objective Optimization. - Jonathan E. Fieldsend; Tinkle Chugh; Richard Allmendinger 001; Kaisa Miettinen (IEEE Trans. Evol. Comput., 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)

Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. - Arnaud Liefooghe; Sébastien Vérel; Tinkle Chugh; Jonathan E. Fieldsend; Richard Allmendinger 001; Kaisa Miettinen (EMO, 2023)

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)

Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems. - Tinkle Chugh; António Gaspar-Cunha; André H. Deutz; João A. Duro; Daniel C. Oara; Alma A. M. Rahat (Many-Criteria Optimization and Decision Analysis, 2023)

Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation. - Tinkle Chugh; Alexander Evans (EvoApplications@EvoStar, 2024)

Is greed still good in multi-objective Bayesian optimisation? - Frederico Leite Richardson; George De Ath; Tinkle Chugh (GECCO Companion, 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)

Introduction to the Special Issue on Data-Driven Evolutionary Computation. - Yaochu Jin; Xilu Wang 001; Hemant K. Singh; Tinkle Chugh; Alma Rahat (ACM Trans. Evol. Learn. Optim., 2024)

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