Tapabrata Ray

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 103

Top Venues

CEC

IEEE Trans. Evol. Comput.

Swarm Evol. Comput.

ACALCI

Publications

Rounak Saha Niloy, Hemant Kumar Singh, Tapabrata Ray
A benchmark test suite for evolutionary multi-objective multi-concept optimization. Swarm Evol. Comput. 84 (2024)
Rounak Saha Niloy, Hemant Kumar Singh, Tapabrata Ray
A Brief Review of Multi-Concept Multi-Objective Optimization Problems. SSCI (2023)
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC (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) (2023)
Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
Hybridizing TPOT with Bayesian Optimization. GECCO (2023)
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)
Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li
A Test Suite for Multi-objective Multi-fidelity Optimization. EMO (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) (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) (2023)
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization. CEC (2023)
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 (2022)
Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. CoRR (2022)
Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. CEC (2022)
Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Akira Oyama
Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. SSCI (2022)
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
Investigating Neighborhood Solution Transfer Schemes for Bilevel Optimization. CEC (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 (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) (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 (2022)
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)
Mohamed Tarek, Tapabrata Ray
Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios. CoRR (2021)
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization. GECCO Companion (2021)
Mohamed Tarek, Tapabrata Ray
Robust and stochastic compliance-based topology optimization with finitely many loading scenarios. CoRR (2021)
Brandon Parker, Hemant Kumar Singh, Tapabrata Ray
Multi-objective optimization across multiple concepts: a case study on lattice structure design. GECCO (2021)
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization. IEEE Trans. Evol. Comput. 25 (6) (2021)
Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO (2021)
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
Feasibility-ratio based sequencing for computationally efficient constrained optimization. Swarm Evol. Comput. 62 (2021)
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization. CEC (2021)
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization. EMO (2021)
Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul A. Sarker
Heuristic Enhanced Evolutionary Algorithm for Community Microgrid Scheduling. IEEE Access 8 (2020)
Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul A. Sarker
Economic-Environmental Scheduling of Community Microgrid using Evolutionary Algorithm. SSCI (2020)
Tapabrata Ray, Hemant Kumar Singh, Ahsanul Habib, Tobias Rodemann, Markus Olhofer
Online intensification of search around solutions of interest for multi/many-objective optimization. CEC (2020)
Kamrul Hasan Rahi, Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray
Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space. GECCO Companion (2020)
Ahsanul Habib, Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
Wind-turbine design optimization using a many-objective evolutionary algorithm. GECCO Companion (2020)
Ahsanul Habib, Hemant K. Singh, Tapabrata Ray
A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm. Inf. Sci. 502 (2019)
Shelvin Chand, Hemant K. Singh, Tapabrata Ray
Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions. Swarm Evol. Comput. 44 (2019)
Hemant Kumar Singh, Md. Monjurul Islam, Tapabrata Ray, Michael J. Ryan
Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis. Swarm Evol. Comput. 48 (2019)
Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray
A component-wise study of K-RVEA: observations and potential future developments. GECCO (Companion) (2019)
Hemant Kumar Singh, Kalyan Shankar Bhattacharjee, Tapabrata Ray
Distance-Based Subset Selection for Benchmarking in Evolutionary Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 23 (5) (2019)
Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray
Investigating the use of linear programming to solve implicit symbolic regression problems. GECCO (Companion) (2019)
Ramtin Gharleghi, Heidi Wright, Somesh Khullar, Jinbo Liu, Tapabrata Ray, Susann Beier
Advanced Multi-objective Design Analysis to Identify Ideal Stent Design. MLMECH/CVII-STENT@MICCAI (2019)
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
Investigating the use of sequencing and infeasibility driven strategies for constrained optimization. CEC (2019)
Hemant Kumar Singh, Tapabrata Ray, Tobias Rodemann, Markus Olhofer
Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility. GECCO (Companion) (2019)
Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray, Michael J. Ryan
Rollout based Heuristics for the Quantum Circuit Compilation Problem. CEC (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)
Shelvin Chand, Hemant K. Singh, Tapabrata Ray
Evolving rollout-justification based heuristics for resource constrained project scheduling problems. Swarm Evol. Comput. 50 (2019)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study. EMO (2019)
Chao Liu, Qi Zhao, Bai Yan, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
Adaptive Sorting-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23 (2) (2019)
Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray
Team Selection Using Multi-/Many-Objective Optimization with Integer Linear Programming. CEC (2018)
Tapabrata Ray, Ahsanul Habib, Hemant Kumar Singh, Michael J. Ryan
Uncovering Performance Envelopes Through Optimum Design of Tests. Australasian Conference on Artificial Intelligence (2018)
Shelvin Chand, Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Markus Wagner
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems. Inf. Sci. 432 (2018)
Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray
An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors. IEEE Trans. Cybern. 48 (8) (2018)
Saber M. Elsayed, Ruhul A. Sarker, Carlos A. Coello Coello, Tapabrata Ray
Adaptation of operators and continuous control parameters in differential evolution for constrained optimization. Soft Comput. 22 (19) (2018)
Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets. IEEE Trans. Evol. Comput. 22 (4) (2018)
Hemant Kumar Singh, Kalyan Shankar Bhattacharjee, Tapabrata Ray, Sanaz Mostaghim
Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms. Australasian Conference on Artificial Intelligence (2018)
Quang Nhat Huynh, Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray
Genetic Programming With Mixed-Integer Linear Programming-Based Library Search. IEEE Trans. Evol. Comput. 22 (5) (2018)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
Efficient Global Optimization for Solving Computationally Expensive Bilevel Optimization Problems. CEC (2018)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
A Surrogate Assisted Approach for Single-Objective Bilevel Optimization. IEEE Trans. Evol. Comput. 21 (5) (2017)
Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray
A heuristic algorithm for solving resource constrained project scheduling problems. CEC (2017)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
Use of a Non-nested Formulation to Improve Search for Bilevel Optimization. Australasian Conference on Artificial Intelligence (2017)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray, Ankur Sinha
An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems. Evol. Comput. 25 (4) (2017)
Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
. Appl. Soft Comput. 51 (2017)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
An approach to generate comprehensive piecewise linear interpolation of pareto outcomes to aid decision making. J. Glob. Optim. 68 (1) (2017)
Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti
Design Optimization of an Unmanned Underwater Vehicle Using Low- and High-Fidelity Models. IEEE Trans. Syst. Man Cybern. Syst. 47 (11) (2017)
Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray
A Batch Infill Strategy for Computationally Expensive Optimization Problems. ACALCI (2017)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang
Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. CEC (2017)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Michael J. Ryan, Tapabrata Ray
Bridging the Gap: Many-Objective Optimization and Informed Decision-Making. IEEE Trans. Evol. Comput. 21 (5) (2017)
Jürgen Branke, Md. Asafuddoula, Kalyan Shankar Bhattacharjee, Tapabrata Ray
Efficient Use of Partially Converged Simulations in Evolutionary Optimization. IEEE Trans. Evol. Comput. 21 (1) (2017)
Saber M. Elsayed, Mahidur R. Sarker, Tapabrata Ray, Carlos A. Coello Coello
Consolidated optimization algorithm for resource-constrained project scheduling problems. Inf. Sci. 418 (2017)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts. Australasian Conference on Artificial Intelligence (2017)
Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray
Optimum redesign of scale-free networks with robustness and cost considerations. CEC (2016)
Ismail M. Ali, Saber Mohammed Elsayed, Tapabrata Ray, Ruhul A. Sarker
A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems. ACALCI (2016)
Md Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
A co-evolutionary approach for optimal bidding strategy of multiple electricity suppliers. CEC (2016)
Md Forhad Zaman, Saber Mohammed Elsayed, Tapabrata Ray, Ruhul A. Sarker
A Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators. ACALCI (2016)
Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray
A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization. GECCO (Companion) (2016)
Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray
A multi-objective batch infill strategy for efficient global optimization. CEC (2016)
Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray
A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework. SSCI (2016)
Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray
Finding robust solutions for resource constrained project scheduling problems involving uncertainties. CEC (2016)
Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
Proceedings in Adaptation, Learning and Optimization. IES (2016)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
A Nested Differential Evolution Based Algorithm for Solving Multi-objective Bilevel Optimization Problems. ACALCI (2016)
Ke Lu, Jürgen Branke, Tapabrata Ray
Improving Efficiency of Bi-level Worst Case Optimization. PPSN (2016)
Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray
A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data. GECCO (Companion) (2016)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
A memetic algorithm for solving bilevel optimization problems with multiple followers. CEC (2016)
Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray
Improving Symbolic Regression through a semantics-driven framework. SSCI (2016)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Jürgen Branke
Multiple surrogate assisted multiobjective optimization using improved pre-selection. CEC (2016)
Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems. Eng. Appl. Artif. Intell. 53 (2016)
Hemant Kumar Singh, Khairul Alam, Tapabrata Ray
Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey. ACALCI (2016)
Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set. ACALCI (2016)
Caixia Li, Sreenatha G. Anavatti, Tapabrata Ray, Hyungbo Shim
Proceedings in Adaptation, Learning and Optimization. IES (2016)
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems. Appl. Math. Comput. 253 (2015)
Shahriar Etemadi Tajbakhsh, Tapabrata Ray, Mark C. Reed
An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks. CrownCom (2015)
Shahriar Etemadi Tajbakhsh, Tapabrata Ray, Mark C. Reed, Yuan Liu
Joint power control and resource scheduling in wireless heterogeneous networks. ICT (2015)
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
A multi-objective genetic programming approach to uncover explicit and implicit equations from data. CEC (2015)
Kalyan Shankar Bhattacharjee, Tapabrata Ray
Selective evaluation in multiobjective optimization: A less explored avenue. CEC (2015)
Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
A Memetic Algorithm for solving single objective bilevel optimization problems. CEC (2015)
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization. IEEE Trans. Evol. Comput. 19 (3) (2015)
Hemant K. Singh, Md. Asafuddoula, Khairul Alam, Tapabrata Ray
Re-design for Robustness: An Approach Based on Many Objective Optimization. EMO (2) (2015)
Md. Asafuddoula, Hemant K. Singh, Tapabrata Ray
Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm. IEEE Trans. Evol. Comput. 19 (4) (2015)
Md. Asafuddoula, Tapabrata Ray, Hemant Kumar Singh
Characterizing Pareto Front Approximations in Many-objective Optimization. GECCO (2015)
Ismail M. Ali, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker
Memetic algorithm for solving resource constrained project scheduling problems. CEC (2015)
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints. Appl. Soft Comput. 36 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tapabrata Ray