tinkle chugh
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Year
A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization
T Chugh, Y Jin, K Miettinen, J Hakanen, K Sindhya
IEEE Transactions on Evolutionary Computation 22 (1), 129-142, 2016
1052016
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
T Chugh, K Sindhya, J Hakanen, K Miettinen
Soft Computing 23 (9), 3137-3166, 2019
522019
Data-driven evolutionary optimization: an overview and case studies
Y Jin, H Wang, T Chugh, D Guo, K Miettinen
IEEE Transactions on Evolutionary Computation 23 (3), 442-458, 2018
402018
A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem
T Chugh, N Chakraborti, K Sindhya, Y Jin
Materials and Manufacturing Processes 32 (10), 1172-1178, 2017
362017
Multi-Objective Optimization of Bulk Vinyl Acetate Polymerization with Branching
KM Anitha Mogilicharla, Tinkle Chugh, Saptarshi
Materials and Manufacturing Processes 29 (2), 210-217, 2014
202014
On constraint handling in surrogate-assisted evolutionary many-objective optimization
T Chugh, K Sindhya, K Miettinen, J Hakanen, Y Jin
International Conference on Parallel Problem Solving from Nature, 214-224, 2016
182016
An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems
T Chugh, K Sindhya, J Hakanen, K Miettinen
8th International conference on Evolutionary Multi-Criteria Optimization, 2015
172015
Handling computationally expensive multiobjective optimization problems with evolutionary algorithms : A survey
T Chugh, K Sindhya, J Hakanen, K Miettinen
https://jyu.finna.fi/Record/jykdok.1506554, 2015
122015
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system
T Chugh, K Sindhya, K Miettinen, Y Jin, T Kratky, P Makkonen
2017 IEEE Congress on Evolutionary Computation (CEC), 1541-1548, 2017
112017
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms
J Hakanen, T Chugh, K Sindhya, Y Jin, K Miettinen
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
72016
Towards better integration of surrogate models and optimizers
T Chugh, A Rahat, V Volz, M Zaefferer
High-Performance Simulation-Based Optimization, 137-163, 2020
42020
A feature rich distance-based many-objective visualisable test problem generator
JE Fieldsend, T Chugh, R Allmendinger, K Miettinen
Proceedings of the Genetic and Evolutionary Computation Conference, 541-549, 2019
42019
On dealing with uncertainties from kriging models in offline data-driven evolutionary multiobjective optimization
A Mazumdar, T Chugh, K Miettinen, M López-Ibáñez
International Conference on Evolutionary Multi-Criterion Optimization, 463-474, 2019
42019
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization
A Habib, HK Singh, T Chugh, T Ray, K Miettinen
IEEE Transactions on Evolutionary Computation 23 (6), 1000-1014, 2019
42019
Handling expensive multiobjective optimization problems with evolutionary algorithms
T Chugh
Jyväskylä studies in computing 263., 2017
42017
Surrogate-Assisted Evolutionary Optimization of Large Problems
T Chugh, C Sun, H Wang, Y Jin
High-Performance Simulation-Based Optimization, 165-187, 2020
22020
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm
T Chugh, T Kratky, K Miettinen, Y Jin, P Makonen
Proceedings of the Genetic and Evolutionary Computation Conference, 1147-1155, 2019
22019
K-RVEA: A Kriging-assisted evolutionary algorithm for many-objective optimization
T Chugh, Y Jin, K Miettinen, J Hakanen, K Sindhya
https://jyu.finna.fi/Record/jykdok.1544572, 2016
22016
On the Impact of Covariance Functions in Multi-Objective Bayesian Optimization for Engineering Design
PS Palar, LR Zuhal, T Chugh, A Rahat
AIAA Scitech 2020 Forum, 1867, 2020
12020
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies
T Chugh, R Allmendinger, V Ojalehto, K Miettinen
Proceedings of the Genetic and Evolutionary Computation Conference, 609-616, 2018
12018
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