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Tinkle Chugh
ORCID
Publication Activity (10 Years)
Years Active: 2015-2024
Publications (10 Years): 35
Top Topics
Gaussian Process
Optimisation Problems
Evolutionary Algorithm
Evolutionary Multiobjective
Top Venues
CoRR
IEEE Trans. Evol. Comput.
GECCO Companion
GECCO
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Publications
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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)