Tinkle Chugh
Orcid: 0000-0001-5123-8148Affiliations:
- University of Exeter, UK
According to our database1,
Tinkle Chugh
authored at least 30 papers
between 2015 and 2024.
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Bibliography
2024
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
2023
Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems.
Evol. Comput., 2023
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
2022
Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
R-MBO: a multi-surrogate approach for preference incorporation in multi-objective bayesian optimisation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Artificial Evolution, 2022
2021
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?
CoRR, 2021
Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Proceedings of the High-Performance Simulation-Based Optimization, 2020
Proceedings of the High-Performance Simulation-Based Optimization, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
2019
IEEE Trans. Evol. Comput., 2019
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms.
Soft Comput., 2019
Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
2018
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
2015
An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015