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- Tapabrata Ray
University of New South Wales, Canberra, Australia
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Publication search results
found 194 matches
- 2024
- Rounak Saha Niloy, Hemant Kumar Singh, Tapabrata Ray:
A benchmark test suite for evolutionary multi-objective multi-concept optimization. Swarm Evol. Comput. 84: 101429 (2024) - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations. CEC 2024: 1-8 - Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer:
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. EvoApplications@EvoStar 2024: 115-129 - Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer:
Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. GECCO 2024 - Kamrul Hasan Rahi, Hemant K. Singh, Tapabrata Ray:
Towards solving expensive optimization problems with heterogeneous constraint costs. GECCO Companion 2024: 2032-2040 - 2023
- Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul A. Sarker:
EV Hosting Capacity Enhancement in a Community Microgrid Through Dynamic Price Optimization-Based Demand Response. IEEE Trans. Cybern. 53(12): 7431-7442 (2023) - Angus Kenny, Tapabrata Ray, Hemant Kumar Singh:
An Iterative Two-Stage Multifidelity Optimization Algorithm for Computationally Expensive Problems. IEEE Trans. Evol. Comput. 27(3): 520-534 (2023) - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations. IEEE Trans. Evol. Comput. 27(5): 1544-1558 (2023) - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2023: 1-8 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization. CEC 2023: 1-8 - Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li:
A Test Suite for Multi-objective Multi-fidelity Optimization. EMO 2023: 361-373 - Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer:
Hybridizing TPOT with Bayesian Optimization. GECCO 2023: 502-510 - Matthew Lette, Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop. GECCO 2023: 1391-1399 - Rounak Saha Niloy, Hemant Kumar Singh, Tapabrata Ray:
A Brief Review of Multi-Concept Multi-Objective Optimization Problems. SSCI 2023: 1511-1517 - 2022
- Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer:
Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. IEEE Access 10: 115322-115337 (2022) - Tapabrata Ray, Hemant Kumar Singh, Kamrul Hasan Rahi, Tobias Rodemann, Markus Olhofer:
Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. Appl. Soft Comput. 119: 108505 (2022) - Mohammad Mohiuddin Mamun, Hemant Kumar Singh, Tapabrata Ray:
An approach for computationally expensive multi-objective optimization problems with independently evaluable objectives. Swarm Evol. Comput. 75: 101146 (2022) - Mohammad Mohiuddin Mamun, Hemant Kumar Singh, Tapabrata Ray:
A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget. IEEE Trans. Evol. Comput. 26(2): 392-399 (2022) - Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh:
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. CEC 2022: 1-8 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Investigating Neighborhood Solution Transfer Schemes for Bilevel Optimization. CEC 2022: 1-8 - Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
Discovery of implicit relationships from data using linear programming and mixed integer linear programming. GECCO Companion 2022: 558-561 - Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Akira Oyama:
Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. SSCI 2022: 1135-1142 - Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh:
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. CoRR abs/2201.06718 (2022) - 2021
- Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Feasibility-ratio based sequencing for computationally efficient constrained optimization. Swarm Evol. Comput. 62: 100850 (2021) - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization. IEEE Trans. Evol. Comput. 25(6): 1103-1117 (2021) - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization. CEC 2021: 1635-1642 - Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray:
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO 2021: 283-295 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization. EMO 2021: 519-530 - Brandon Parker, Hemant Kumar Singh, Tapabrata Ray:
Multi-objective optimization across multiple concepts: a case study on lattice structure design. GECCO 2021: 1035-1042 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization. GECCO Companion 2021: 211-212
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