Tinkle Chugh

43 papers A 5B 2C 2Journal 16Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
BEACON: Continuous Bi-objective Benchmark problems with Explicit Adjustable COrrelatioN control.
GECCO Companion
Samuel Tebbet, George De Ath, Tinkle Chugh
2025 — conf
Multi-objective Multi-agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments.
EMO (2)
Franz Herm, Atanu Mazumdar, Tinkle Chugh
2025 — conf
Nested Multi-objective Model Updating for an Aircraft Wingtail Digital Twin.
GECCO Companion
Jake Hollins, Konstantinos Agathos, Tinkle Chugh
2024 J jnl
Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design.
Eng. Appl. Artif. Intell.
Atanu Mazumdar, Jana Burkotová, Tomas Kratky, Tinkle Chugh, Kaisa Miettinen
2024 — conf
Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation.
EvoApplications@EvoStar
Tinkle Chugh, Alexander Evans
2024 J jnl
Introduction to the Special Issue on Data-Driven Evolutionary Computation.
ACM Trans. Evol. Learn. Optim.
Yaochu Jin, Xilu Wang, Hemant K. Singh, Tinkle Chugh, Alma Rahat
2024 — conf
Is greed still good in multi-objective Bayesian optimisation?
GECCO Companion
Frederico Leite Richardson, George De Ath, Tinkle Chugh
2023 C conf
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.
EMO
Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2023 — ch.
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems.
Many-Criteria Optimization and Decision Analysis
Tinkle Chugh, António Gaspar-Cunha, André H. Deutz, João A. Duro, Daniel C. Oara, Alma A. M. Rahat
2023 J jnl
Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems.
Evol. Comput.
Atanu Mazumdar, Manuel López-Ibáñez, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
2022 J jnl
A Visualizable Test Problem Generator for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
2022 — conf
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature.
PPSN (1)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2022 J jnl
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature.
CoRR
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2022 — conf
Empirical Investigation of MOEAs for Multi-objective Design of Experiments.
EA
Alexander Evans, Tinkle Chugh
2022 J jnl
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation.
CoRR
George De Ath, Tinkle Chugh, Alma As-Aad Rahat
2022 A conf
MBORE: multi-objective Bayesian optimisation by density-ratio estimation.
GECCO
George De Ath, Tinkle Chugh, Alma A. M. Rahat
2022 J jnl
Mono-surrogate vs Multi-surrogate in Multi-objective Bayesian Optimisation.
CoRR
Tinkle Chugh
2022 — conf
Mono-surrogate vs multi-surrogate in multi-objective bayesian optimisation.
GECCO Companion
Tinkle Chugh
2022 J jnl
Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
2022 J jnl
R-MBO: A Multi-surrogate Approach for Preference Incorporation in Multi-objective Bayesian Optimisation.
CoRR
Tinkle Chugh
2022 — conf
R-MBO: a multi-surrogate approach for preference incorporation in multi-objective bayesian optimisation.
GECCO Companion
Tinkle Chugh
2022 J jnl
Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian Optimisation.
CoRR
Tinkle Chugh, Endi Ymeraj
2022 — conf
Wind farm layout optimisation using set based multi-objective bayesian optimisation.
GECCO Companion
Tinkle Chugh, Endi Ymeraj
2021 — conf
Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets.
GECCO Companion
Tinkle Chugh, Manuel López-Ibáñez
2021 J jnl
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?
CoRR
Clym Stock-Williams, Tinkle Chugh, Alma A. M. Rahat, Wei Yu
2020 — conf
An Interactive Framework for Offline Data-Driven Multiobjective Optimization.
BIOMA
Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
2020 B conf
Scalarizing Functions in Bayesian Multiobjective Optimization.
CEC
Tinkle Chugh
2020 — ch.
Surrogate-Assisted Evolutionary Optimization of Large Problems.
High-Performance Simulation-Based Optimization
Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin
2020 — ch.
Towards Better Integration of Surrogate Models and Optimizers.
High-Performance Simulation-Based Optimization
Tinkle Chugh, Alma A. M. Rahat, Vanessa Volz, Martin Zaefferer
2019 J jnl
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Ahsanul Habib, Hemant Kumar Singh, Tinkle Chugh, Tapabrata Ray, Kaisa Miettinen
2019 A conf
A feature rich distance-based many-objective visualisable test problem generator.
GECCO
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
2019 J jnl
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms.
Soft Comput.
Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen
2019 J jnl
Data-Driven Evolutionary Optimization: An Overview and Case Studies.
IEEE Trans. Evol. Comput.
Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen
2019 A conf
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm.
GECCO
Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen
2019 C conf
On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization.
EMO
Atanu Mazumdar, Tinkle Chugh, Kaisa Miettinen, Manuel López-Ibáñez
2019 J jnl
Scalarizing Functions in Bayesian Multiobjective Optimization.
CoRR
Tinkle Chugh
2019 — conf
Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels.
LOD
Tinkle Chugh, Alma A. M. Rahat, Pramudita Satria Palar
2018 J jnl
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Tinkle Chugh, Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya
2018 A conf
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies.
GECCO
Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen
2017 B conf
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system.
CEC
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Yaochu Jin, Tomas Kratky, Pekka Makkonen
2016 — conf
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms.
SSCI
Jussi Hakanen, Tinkle Chugh, Karthik Sindhya, Yaochu Jin, Kaisa Miettinen
2016 A conf
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization.
PPSN
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin
2015 — conf
An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems.
EMO (1)
Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen