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ORCIDTapabrata Ray
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- affiliation: University of New South Wales, Canberra, Australia
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2020 – today
- 2024
[j49]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)- [c137]Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations. CEC 2024: 1-8 - [c136]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 - [c135]Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer:
Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. GECCO 2024 - [c134]Kamrul Hasan Rahi, Hemant K. Singh, Tapabrata Ray:
Towards solving expensive optimization problems with heterogeneous constraint costs. GECCO Companion 2024: 2032-2040 - [i4]Bing Wang, Hemant K. Singh, Tapabrata Ray:
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization. CoRR abs/2409.03328 (2024) - 2023
- [j48]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) - [j47]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) - [j46]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) - [c133]Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2023: 1-8 - [c132]Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization. CEC 2023: 1-8 - [c131]Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li:
A Test Suite for Multi-objective Multi-fidelity Optimization. EMO 2023: 361-373 - [c130]Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer:
Hybridizing TPOT with Bayesian Optimization. GECCO 2023: 502-510 - [c129]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 - [c128]Rounak Saha Niloy, Hemant Kumar Singh, Tapabrata Ray:
A Brief Review of Multi-Concept Multi-Objective Optimization Problems. SSCI 2023: 1511-1517 - 2022
- [j45]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) - [j44]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) - [j43]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) - [j42]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) - [c127]Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh:
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. CEC 2022: 1-8 - [c126]Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Investigating Neighborhood Solution Transfer Schemes for Bilevel Optimization. CEC 2022: 1-8 - [c125]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 - [c124]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 - [i3]Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh:
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. CoRR abs/2201.06718 (2022) - 2021
- [j41]Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Feasibility-ratio based sequencing for computationally efficient constrained optimization. Swarm Evol. Comput. 62: 100850 (2021) - [j40]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) - [c123]Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization. CEC 2021: 1635-1642 - [c122]Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray:
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO 2021: 283-295 - [c121]Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization. EMO 2021: 519-530 - [c120]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 - [c119]Brandon Parker, Hemant Kumar Singh, Tapabrata Ray:
Multi-objective optimization across multiple concepts: a case study on lattice structure design. GECCO 2021: 1035-1042 - [i2]Mohamed Tarek, Tapabrata Ray:
Robust and stochastic compliance-based topology optimization with finitely many loading scenarios. CoRR abs/2103.04594 (2021) - [i1]Mohamed Tarek, Tapabrata Ray:
Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios. CoRR abs/2108.03654 (2021) - 2020
- [j39]Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul A. Sarker:
Heuristic Enhanced Evolutionary Algorithm for Community Microgrid Scheduling. IEEE Access 8: 76500-76515 (2020) - [c118]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: 1-8 - [c117]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: 201-202 - [c116]Ahsanul Habib, Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Wind-turbine design optimization using a many-objective evolutionary algorithm. GECCO Companion 2020: 267-268 - [c115]Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul A. Sarker:
Economic-Environmental Scheduling of Community Microgrid using Evolutionary Algorithm. SSCI 2020: 2770-2777 - [p4]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray:
Many-Objective Optimization with Limited Computing Budget. High-Performance Simulation-Based Optimization 2020: 17-46
2010 – 2019
- 2019
- [j38]Ahsanul Habib, Hemant K. Singh, Tapabrata Ray:
A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm. Inf. Sci. 502: 537-557 (2019) - [j37]Shelvin Chand, Hemant K. Singh, Tapabrata Ray:
Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions. Swarm Evol. Comput. 44: 897-912 (2019) - [j36]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: 329-344 (2019) - [j35]Shelvin Chand, Hemant K. Singh, Tapabrata Ray:
Evolving rollout-justification based heuristics for resource constrained project scheduling problems. Swarm Evol. Comput. 50 (2019) - [j34]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): 247-257 (2019) - [j33]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): 904-912 (2019) - [j32]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): 1000-1014 (2019) - [c114]Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray, Michael J. Ryan:
Rollout based Heuristics for the Quantum Circuit Compilation Problem. CEC 2019: 974-981 - [c113]Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Investigating the use of sequencing and infeasibility driven strategies for constrained optimization. CEC 2019: 1642-1649 - [c112]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray:
Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study. EMO 2019: 707-718 - [c111]Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray:
A component-wise study of K-RVEA: observations and potential future developments. GECCO (Companion) 2019: 201-202 - [c110]Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
Investigating the use of linear programming to solve implicit symbolic regression problems. GECCO (Companion) 2019: 344-345 - [c109]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: 1734-1741 - [c108]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: 193-200 - 2018
- [j31]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: 146-163 (2018) - [j30]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): 6595-6616 (2018) - [j29]Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray:
An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors. IEEE Trans. Cybern. 48(8): 2321-2334 (2018) - [j28]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): 536-549 (2018) - [j27]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): 733-747 (2018) - [c107]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: 384-396 - [c106]Tapabrata Ray, Ahsanul Habib, Hemant Kumar Singh, Michael J. Ryan:
Uncovering Performance Envelopes Through Optimum Design of Tests. Australasian Conference on Artificial Intelligence 2018: 445-457 - [c105]Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray:
Team Selection Using Multi-/Many-Objective Optimization with Integer Linear Programming. CEC 2018: 1-8 - [c104]Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray:
Efficient Global Optimization for Solving Computationally Expensive Bilevel Optimization Problems. CEC 2018: 1-8 - 2017
- [j26]Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
Co-evolutionary approach for strategic bidding in competitive electricity markets. Appl. Soft Comput. 51: 1-22 (2017) - [j25]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) - [j24]Saber M. Elsayed, Mahidur R. Sarker, Tapabrata Ray, Carlos A. Coello Coello:
Consolidated optimization algorithm for resource-constrained project scheduling problems. Inf. Sci. 418: 346-362 (2017) - [j23]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): 71-93 (2017) - [j22]Jürgen Branke, Md. Asafuddoula, Kalyan Shankar Bhattacharjee, Tapabrata Ray:
Efficient Use of Partially Converged Simulations in Evolutionary Optimization. IEEE Trans. Evol. Comput. 21(1): 52-64 (2017) - [j21]Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray:
A Surrogate Assisted Approach for Single-Objective Bilevel Optimization. IEEE Trans. Evol. Comput. 21(5): 681-696 (2017) - [j20]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): 813-820 (2017) - [j19]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): 2794-2808 (2017) - [c103]Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray:
A Batch Infill Strategy for Computationally Expensive Optimization Problems. ACALCI 2017: 74-85 - [c102]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: 93-105 - [c101]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: 106-118 - [c100]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang:
Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. CEC 2017: 105-112 - [c99]Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray:
A heuristic algorithm for solving resource constrained project scheduling problems. CEC 2017: 225-232 - 2016
- [j18]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: 105-125 (2016) - [c98]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: 66-77 - [c97]Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray:
A Nested Differential Evolution Based Algorithm for Solving Multi-objective Bilevel Optimization Problems. ACALCI 2016: 101-112 - [c96]Hemant Kumar Singh, Khairul Alam, Tapabrata Ray:
Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey. ACALCI 2016: 193-205 - [c95]Ismail M. Ali, Saber Mohammed Elsayed, Tapabrata Ray, Ruhul A. Sarker:
A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems. ACALCI 2016: 209-220 - [c94]Md Forhad Zaman, Saber Mohammed Elsayed, Tapabrata Ray, Ruhul A. Sarker:
A Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators. ACALCI 2016: 258-269 - [c93]Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray:
Finding robust solutions for resource constrained project scheduling problems involving uncertainties. CEC 2016: 225-232 - [c92]Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
Optimum redesign of scale-free networks with robustness and cost considerations. CEC 2016: 529-536 - [c91]Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray:
A memetic algorithm for solving bilevel optimization problems with multiple followers. CEC 2016: 1901-1908 - [c90]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: 3407-3715 - [c89]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Jürgen Branke:
Multiple surrogate assisted multiobjective optimization using improved pre-selection. CEC 2016: 4328-4335 - [c88]Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray:
A multi-objective batch infill strategy for efficient global optimization. CEC 2016: 4336-4343 - [c87]Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray:
A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization. GECCO (Companion) 2016: 71-72 - [c86]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: 103-104 - [c85]Caixia Li, Sreenatha G. Anavatti, Tapabrata Ray, Hyungbo Shim:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 17-30 - [c84]Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 495-508 - [c83]Ke Lu, Jürgen Branke, Tapabrata Ray:
Improving Efficiency of Bi-level Worst Case Optimization. PPSN 2016: 410-420 - [c82]Ahsanul Habib, Hemant Kumar Singh, Tapabrata Ray:
A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework. SSCI 2016: 1-8 - [c81]Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
Improving Symbolic Regression through a semantics-driven framework. SSCI 2016: 1-8 - [e1]Tapabrata Ray, Ruhul A. Sarker, Xiaodong Li:
Artificial Life and Computational Intelligence - Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings. Lecture Notes in Computer Science 9592, Springer 2016, ISBN 978-3-319-28269-5 [contents] - 2015
- [j17]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems. Appl. Math. Comput. 253: 23-39 (2015) - [j16]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: 101-113 (2015) - [j15]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization. IEEE Trans. Evol. Comput. 19(3): 445-460 (2015) - [j14]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): 490-507 (2015) - [c80]Kalyan Shankar Bhattacharjee, Tapabrata Ray:
An Evolutionary Algorithm with Classifier Guided Constraint Evaluation Strategy for Computationally Expensive Optimization Problems. Australasian Conference on Artificial Intelligence 2015: 49-62 - [c79]Kalyan Shankar Bhattacharjee, Tapabrata Ray:
Cost to Evaluate Versus Cost to Learn? Performance of Selective Evaluation Strategies in Multiobjective Optimization. Australasian Conference on Artificial Intelligence 2015: 63-75 - [c78]Md. Asafuddoula, Tapabrata Ray, Amitay Isaacs, Hemant Kumar Singh:
Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems. CEC 2015: 893-899 - [c77]Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
A multi-objective genetic programming approach to uncover explicit and implicit equations from data. CEC 2015: 1129-1136 - [c76]Md. Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray:
A Memetic Algorithm for solving single objective bilevel optimization problems. CEC 2015: 1643-1650 - [c75]Kalyan Shankar Bhattacharjee, Tapabrata Ray:
Selective evaluation in multiobjective optimization: A less explored avenue. CEC 2015: 1893-1900 - [c74]Ismail M. Ali, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
Memetic algorithm for solving resource constrained project scheduling problems. CEC 2015: 2761-2767 - [c73]Shahriar Etemadi Tajbakhsh, Tapabrata Ray, Mark C. Reed:
An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks. CrownCom 2015: 718-724 - [c72]Hemant K. Singh, Md. Asafuddoula, Khairul Alam, Tapabrata Ray:
Re-design for Robustness: An Approach Based on Many Objective Optimization. EMO (2) 2015: 343-357 - [c71]Md. Asafuddoula, Tapabrata Ray, Hemant Kumar Singh:
Characterizing Pareto Front Approximations in Many-objective Optimization. GECCO 2015: 607-614 - [c70]Shahriar Etemadi Tajbakhsh, Tapabrata Ray, Mark C. Reed, Yuan Liu:
Joint power control and resource scheduling in wireless heterogeneous networks. ICT 2015: 180-184 - 2014
- [j13]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
An adaptive hybrid differential evolution algorithm for single objective optimization. Appl. Math. Comput. 231: 601-618 (2014) - [j12]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Design and construction of an autonomous underwater vehicle. Neurocomputing 142: 16-29 (2014) - [j11]Ruhul A. Sarker, Saber M. Elsayed, Tapabrata Ray:
Differential Evolution With Dynamic Parameters Selection for Optimization Problems. IEEE Trans. Evol. Comput. 18(5): 689-707 (2014) - [j10]Caixia Li, Sreenatha Gopalarao Anavatti, Tapabrata Ray:
Analytical Hierarchy Process Using Fuzzy Inference Technique for Real-Time Route Guidance System. IEEE Trans. Intell. Transp. Syst. 15(1): 84-93 (2014) - [c69]Min Liu, Hemant Kumar Singh, Tapabrata Ray:
A benchmark generator for dynamic capacitated arc routing problems. IEEE Congress on Evolutionary Computation 2014: 579-586 - [c68]Min Liu, Hemant Kumar Singh, Tapabrata Ray:
A memetic algorithm with a new split scheme for solving dynamic capacitated arc routing problems. IEEE Congress on Evolutionary Computation 2014: 595-602 - [c67]Hemant Kumar Singh, Md. Asafuddoula, Tapabrata Ray:
Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M). IEEE Congress on Evolutionary Computation 2014: 983-990 - [c66]Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems. IEEE Congress on Evolutionary Computation 2014: 1062-1068 - [c65]Hemant Kumar Singh, Amitay Isaacs, Tapabrata Ray:
A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problems. IEEE Congress on Evolutionary Computation 2014: 1069-1075 - [c64]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Practical application of an evolutionary algorithm for the design and construction of a six-inch submarine. IEEE Congress on Evolutionary Computation 2014: 2825-2832 - [c63]Forhad Zaman, Ruhul A. Sarker, Tapabrata Ray:
Solving an economic and environmental dispatch problem using evolutionary algorithm. IEEM 2014: 1367-1371 - 2013
- [j9]Hemant Kumar Singh, Tapabrata Ray, Ruhul A. Sarker:
Optimum Oil Production Planning Using Infeasibility Driven Evolutionary Algorithm. Evol. Comput. 21(1): 65-82 (2013) - [j8]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
Black-Box Tool for nonlinear System Identification Based upon Fuzzy System. Int. J. Comput. Intell. Appl. 12(2) (2013) - [c62]Samir M. Mohamed Elsayed, Ruhul A. Sarker, Tapabrata Ray:
Differential evolution with automatic parameter configuration for solving the CEC2013 competition on Real-Parameter Optimization. IEEE Congress on Evolutionary Computation 2013: 1932-1937 - [c61]Tapabrata Ray, Md. Asafuddoula, Amitay Isaacs:
A steady state decomposition based quantum genetic algorithm for many objective optimization. IEEE Congress on Evolutionary Computation 2013: 2817-2824 - [c60]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control. EMO 2013: 413-427 - [c59]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations. GECCO (Companion) 2013: 113-114 - [c58]Caixia Li, Sreenatha Gopalarao Anavatti, Tapabrata Ray:
Application of a non-cooperative game theory based traffic assignment. ICACCI 2013: 1124-1128 - [c57]Andrey Kirsanov, Sreenatha G. Anavatti, Tapabrata Ray:
3D tools for the Robust Design Optimization of an Autonomous Underwater Vehicle. ICACCI 2013: 1730-1737 - [c56]Caixia Li, Sreenatha G. Anavatti, Tapabrata Ray:
A game theory based traffic assignment using queueing networks. ITST 2013: 210-215 - [c55]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set. SDE 2013: 31-37 - [c54]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
Hybrid Neuro-Fuzzy Network Identification for Autonomous Underwater Vehicles. SEMCCO (2) 2013: 287-297 - [c53]Andrey Kirsanov, Sreenatha G. Anavatti, Tapabrata Ray:
Path Planning for the Autonomous Underwater Vehicle. SEMCCO (2) 2013: 476-486 - 2012
- [c52]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing. Australasian Conference on Artificial Intelligence 2012: 182-193 - [c51]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
An Evolutionary Approach for the Design of Autonomous Underwater Vehicles. Australasian Conference on Artificial Intelligence 2012: 279-290 - [c50]Mohammad Sharif Khan, Tapabrata Ray:
A Memetic Algorithm for Efficient Solution of 2D and 3D Shape Matching Problems. Australasian Conference on Artificial Intelligence 2012: 362-372 - [c49]Min Liu, Tapabrata Ray:
Efficient Solution of Capacitated Arc Routing Problems with a Limited Computational Budget. Australasian Conference on Artificial Intelligence 2012: 791-802 - [c48]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker, Khairul Alam:
An adaptive constraint handling approach embedded MOEA/D. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c47]Saber M. Elsayed, Ruhul A. Sarker, Tapabrata Ray:
Parameters adaptation in Differential Evolution. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c46]Amit Saha, Tapabrata Ray:
Equality Constrained Multi-objective optimization. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c45]Amit Saha, Tapabrata Ray:
A repair mechanism for active inequality constraint handling. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c44]Min Liu, Tapabrata Ray:
A Memetic Algorithm with Random Key Crossover and Modified Neighborhood Search for the Solution of Capacitated Arc Routing Problems. ICGEC 2012: 433-436 - [c43]Mohammad Sharif Khan, Tapabrata Ray:
Shape Representation and a Morphing Scheme to Support Flapping Wing Research. ICPRAM (2) 2012: 494-499 - [c42]Caixia Li, Sreenatha Gopalarao Anavatti, Tapabrata Ray:
Adaptive route guidance system with real-time traffic information. ITSC 2012: 367-372 - [p3]Tapabrata Ray, Ruhul A. Sarker:
Memetic Algorithms in Constrained Optimization. Handbook of Memetic Algorithms 2012: 135-151 - 2011
- [j7]Hemant Kumar Singh, Amitay Isaacs, Tapabrata Ray:
A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 15(4): 539-556 (2011) - [c41]Ahmad Faisal Mohamad Ayob, Tapabrata Ray, Warren F. Smith:
Scenario-based hydrodynamic design optimization of high speed planing craft for coastal surveillance. IEEE Congress on Evolutionary Computation 2011: 354-361 - [c40]Mohammad Sharif Khan, Ahmad Faisal Mohamad Ayob, Amitay Isaacs, Tapabrata Ray:
A novel evolutionary approach for 2D shape matching based on B-spline modeling. IEEE Congress on Evolutionary Computation 2011: 655-661 - [c39]Amit Saha, Tapabrata Ray:
How does the good old Genetic Algorithm fare at real world optimization? IEEE Congress on Evolutionary Computation 2011: 1049-1056 - [c38]Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
An adaptive differential evolution algorithm and its performance on real world optimization problems. IEEE Congress on Evolutionary Computation 2011: 1057-1062 - [c37]Hemant Kumar Singh, Tapabrata Ray:
Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems. IEEE Congress on Evolutionary Computation 2011: 1322-1326 - [c36]Amit Saha, Tapabrata Ray, Warren F. Smith:
Towards practical evolutionary robust multi-objective optimization. IEEE Congress on Evolutionary Computation 2011: 2123-2130 - [c35]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Design of a toy submarine using underwater vehicle design optimization framework. CIVTS 2011: 23-29 - [c34]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
On-Line Adaptive Fuzzy Modeling and Control for Autonomous Underwater Vehicle. ICARA (selected extended papers) 2011: 57-70 - [c33]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
Fuzzy modeling and control for Autonomous Underwater Vehicle. ICARA 2011: 169-174 - 2010
- [j6]Hemant Kumar Singh, Tapabrata Ray, Warren F. Smith:
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization. Inf. Sci. 180(13): 2499-2513 (2010) - [c32]Hemant K. Singh, Tapabrata Ray, Warren F. Smith:
Performance of Infeasibility Empowered Memetic Algorithm (IEMA) on Engineering Design Problems. Australasian Conference on Artificial Intelligence 2010: 425-434 - [c31]Hemant Kumar Singh, Tapabrata Ray, Warren F. Smith:
Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c30]Hemant Kumar Singh, Tapabrata Ray, Warren F. Smith:
Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c29]Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari:
Constrained many-objective optimization: A way forward. IEEE Congress on Evolutionary Computation 2009: 545-552 - [c28]Tapabrata Ray, Xin Yao:
A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning. IEEE Congress on Evolutionary Computation 2009: 983-989 - [c27]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
Memetic algorithm for dynamic bi-objective optimization problems. IEEE Congress on Evolutionary Computation 2009: 1707-1713 - [c26]Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen, Tapabrata Ray, Xin Yao:
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems. IEEE Congress on Evolutionary Computation 2009: 3127-3134 - [c25]Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
An improved secondary ranking for many objective optimization problems. GECCO 2009: 1837-1838 - 2008
- [c24]Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
Infeasibility Driven Evolutionary Algorithm (IDEA) for Engineering Design Optimization. Australasian Conference on Artificial Intelligence 2008: 104-115 - [c23]Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
A simulated annealing algorithm for constrained Multi-Objective Optimization. IEEE Congress on Evolutionary Computation 2008: 1655-1662 - [c22]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
Blessings of maintaining infeasible solutions for constrained multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2008: 2780-2787 - [c21]Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
A Simulated Annealing Algorithm for Single Objective Trans-Dimensional Optimization Problems. HIS 2008: 19-24 - [c20]Amitay Isaacs, Vishwas R. Puttige, Tapabrata Ray, Warren F. Smith, Sreenatha G. Anavatti:
Development of a memetic algorithm for Dynamic Multi-Objective Optimization and its applications for online neural network modeling of UAVs. IJCNN 2008: 548-554 - [c19]Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
A Study on the Performance of Substitute Distance Based Approaches for Evolutionary Many Objective Optimization. SEAL 2008: 401-410 - [c18]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
An Efficient Hybrid Algorithm for Optimization of Discrete Structures. SEAL 2008: 625-634 - [p2]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
Set Representation and Multi-parent Learning within an Evolutionary Algorithm for Optimal Design of Trusses. Linkage in Evolutionary Computation 2008: 419-439 - 2007
- [j5]G. P. Briggs, Tapabrata Ray, J. F. Milthorpe:
Optimal design of an Australian medium launch vehicle. Innov. Syst. Softw. Eng. 3(2): 105-116 (2007) - [c17]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization. ACAL 2007: 257-268 - [c16]Vishwas R. Puttige, Sreenatha G. Anavatti, Tapabrata Ray:
Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV. Australian Conference on Artificial Intelligence 2007: 120-129 - [c15]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
A Hybrid Evolutionary Algorithm With Simplex Local Search. IEEE Congress on Evolutionary Computation 2007: 1701-1708 - [c14]Amitay Isaacs, Tapabrata Ray, Warren F. Smith:
Novel evolutionary algorithm with set representation scheme for truss design. IEEE Congress on Evolutionary Computation 2007: 3902-3908 - [c13]Ruhul A. Sarker, Tapabrata Ray, José Barahona da Fonseca:
An evolutionary algorithm for machine layout and job assignment problems. IEEE Congress on Evolutionary Computation 2007: 3991-3997 - [c12]Glenn Sanders, Tapabrata Ray:
Optimal offline path planning of a fixed wing unmanned aerial vehicle (UAV) using an evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 4410-4416 - [p1]Tapabrata Ray, Ruhul A. Sarker:
Optimum Oil Production Planning using an Evolutionary Approach. Evolutionary Scheduling 2007: 273-292 - 2006
- [c11]Tapabrata Ray, Ruhul A. Sarker:
Multiobjective Evolutionary Approach to the Solution of Gas Lift Optimization Problems. IEEE Congress on Evolutionary Computation 2006: 3182-3188 - 2005
- [c10]Ruhul A. Sarker, Tapabrata Ray:
Multiobjective Evolutionary Algorithms for solving Constrained Optimization Problems. CIMCA/IAWTIC 2005: 197-202 - [c9]Ruhul A. Sarker, Sami Kara, Graham Freeman, Berman Kayis, Tapabrata Ray, Hussein A. Abbass:
A Multi-agent Simulation Study for Supply Chain Operation. CIMCA/IAWTIC 2005: 728-733 - [c8]Tapabrata Ray, Kok Sung Won:
An Evolutionary Algorithm for Constrained Bi-objective Optimization Using Radial Slots. KES (4) 2005: 49-56 - 2004
- [c7]Kok Sung Won, Tapabrata Ray:
Performance of kriging and cokriging based surrogate models within the unified framework for surrogate assisted optimization. IEEE Congress on Evolutionary Computation 2004: 1577-1585 - [c6]Tapabrata Ray, Neelakantam Venkatarayalu, Kok Sung Won, Kian Ping Chan:
Study on the behaviour and implementation of parent centric crossover within the generalized generation gap model. IEEE Congress on Evolutionary Computation 2004: 1996-2003 - 2003
- [j4]Tapabrata Ray, Kim-Meow Liew:
Society and civilization: An optimization algorithm based on the simulation of social behavior. IEEE Trans. Evol. Comput. 7(4): 386-396 (2003) - [c5]Neelakantam Venkatarayalu, Tapabrata Ray:
Single and multi-objective design of Yagi-Uda antennas using computational intelligence. IEEE Congress on Evolutionary Computation 2003: 1237-1242 - [c4]Kok Sung Won, Tapabrata Ray, Kang Tai:
A framework for optimization using approximate functions. IEEE Congress on Evolutionary Computation 2003: 1520-1527 - 2002
- [j3]Kim-Meow Liew, Tapabrata Ray, H. Tan, M. J. Tan:
Evolutionary Optimization and Use of Neural Network for Optimum Stamping Process Design for Minimum Springback. J. Comput. Inf. Sci. Eng. 2(1): 38-44 (2002) - [j2]Tapabrata Ray, Kim-Meow Liew, P. Saini:
An intelligent information sharing strategy within a swarm for unconstrained and constrained optimization problems. Soft Comput. 6(1): 38-44 (2002) - [c3]Tapabrata Ray:
Constrained robust optimal design using a multiobjective evolutionary algorithm. IEEE Congress on Evolutionary Computation 2002: 419-424 - 2001
- [c2]Tapabrata Ray, Kim-Meow Liew:
A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems. CEC 2001: 75-80 - 2000
- [c1]Tapabrata Ray, Kang Tai, Seow Kian Chye:
An Evolutionary Algorithm for Constrained Optimization. GECCO 2000: 771-777
1990 – 1999
- 1996
- [j1]Tapabrata Ray, R. P. Gokarn, O. P. Sha:
Neural network applications in naval architecture and marine engineering. Artif. Intell. Eng. 10(3): 213-226 (1996)
Coauthor Index
Sreenatha G. Anavatti
aka: Sreenatha Gopalarao Anavatti
aka: Sreenatha Gopalarao Anavatti
Saber M. Elsayed
aka: Saber Mohammed Elsayed
aka: Saber Mohammed Elsayed
Hemant K. Singh
aka: Hemant Kumar Singh
aka: Hemant Kumar Singh
[j49] [c137] [c136] [c135] [c134] [i4] [j47] [j46] [c133] [c132] [c131] [c130] [c129] [c128] [j45] [j44] [j43] [j42] [c127] [c126] [c125] [c124] [i3] [j41] [j40] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [p4] [j38] [j37] [j36] [j35] [j33] [j32] [c114] [c113] [c112] [c111] [c110] [c109] [j31] [j29] [j27] [c107] [c106] [c105] [c104] [j25] [j23] [j21] [j20] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c93] [c92] [c91] [c89] [c88] [c87] [c86] [c82] [c81] [j14] [c78] [c77] [c76] [c72] [c71] [c69] [c68] [c67] [c65] [j9] [j7] [c37] [j6] [c32] [c31] [c30] [c26] [c25] [c24] [c23] [c21] [c19]
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