Tinkle Chugh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Gaussian Process

Optimisation Problems

Evolutionary Algorithm

Evolutionary Multiobjective

Top Venues

IEEE Trans. Evol. Comput.

GECCO Companion

Publications

Frederico Leite Richardson, George De Ath, Tinkle Chugh
Is greed still good in multi-objective Bayesian optimisation? GECCO Companion (2024)
Tinkle Chugh, Alexander Evans
Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation. EvoApplications@EvoStar (2024)
Atanu Mazumdar, Jana Burkotová, Tomas Kratky, Tinkle Chugh, Kaisa Miettinen
Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design. Eng. Appl. Artif. Intell. 136 (2024)
Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO (2023)
Atanu Mazumdar, Manuel López-Ibáñez, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems. Evol. Comput. 31 (4) (2023)
George De Ath, Tinkle Chugh, Alma As-Aad Rahat
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation. CoRR (2022)
George De Ath, Tinkle Chugh, Alma A. M. Rahat
MBORE: multi-objective Bayesian optimisation by density-ratio estimation. GECCO (2022)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR (2022)
Tinkle Chugh
Mono-surrogate vs Multi-surrogate in Multi-objective Bayesian Optimisation. CoRR (2022)
Tinkle Chugh
Mono-surrogate vs multi-surrogate in multi-objective bayesian optimisation. GECCO Companion (2022)
Tinkle Chugh
R-MBO: a multi-surrogate approach for preference incorporation in multi-objective bayesian optimisation. GECCO Companion (2022)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) (2022)
Tinkle Chugh
R-MBO: A Multi-surrogate Approach for Preference Incorporation in Multi-objective Bayesian Optimisation. CoRR (2022)
Alexander Evans, Tinkle Chugh
Empirical Investigation of MOEAs for Multi-objective Design of Experiments. EA (2022)
Tinkle Chugh, Endi Ymeraj
Wind farm layout optimisation using set based multi-objective bayesian optimisation. GECCO Companion (2022)
Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Tinkle Chugh, Endi Ymeraj
Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian Optimisation. CoRR (2022)
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 26 (1) (2022)
Tinkle Chugh, Manuel López-Ibáñez
Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets. GECCO Companion (2021)
Clym Stock-Williams, Tinkle Chugh, Alma Rahat, Wei Yu
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation? CoRR (2021)
Tinkle Chugh
Scalarizing Functions in Bayesian Multiobjective Optimization. CEC (2020)
Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
An Interactive Framework for Offline Data-Driven Multiobjective Optimization. BIOMA (2020)
Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen
Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Trans. Evol. Comput. 23 (3) (2019)
Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm. GECCO (2019)
Tinkle Chugh
Scalarizing Functions in Bayesian Multiobjective Optimization. CoRR (2019)
Ahsanul Habib, Hemant Kumar Singh, Tinkle Chugh, Tapabrata Ray, Kaisa Miettinen
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 23 (6) (2019)
Atanu Mazumdar, Tinkle Chugh, Kaisa Miettinen, Manuel López-Ibáñez
On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization. EMO (2019)
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
A feature rich distance-based many-objective visualisable test problem generator. GECCO (2019)
Tinkle Chugh, Alma Rahat, Pramudita Satria Palar
Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels. LOD (2019)
Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms. Soft Comput. 23 (9) (2019)
Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. GECCO (2018)
Tinkle Chugh, Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 22 (1) (2018)
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Yaochu Jin, Tomas Kratky, Pekka Makkonen
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system. CEC (2017)
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. PPSN (2016)
Jussi Hakanen, Tinkle Chugh, Karthik Sindhya, Yaochu Jin, Kaisa Miettinen
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. SSCI (2016)
Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen
An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems. EMO (1) (2015)