| Distance-based subset selection for benchmarking in evolutionary multi/many-objective optimization HK Singh, KS Bhattacharjee, T Ray IEEE Transactions on Evolutionary Computation 23 (5), 904-912, 2018 | 79 | 2018 |
| Bridging the gap: Many-objective optimization and informed decision-making KS Bhattacharjee, HK Singh, M Ryan, T Ray IEEE Transactions on Evolutionary Computation 21 (5), 813-820, 2017 | 68 | 2017 |
| Multi-objective optimization with multiple spatially distributed surrogates KS Bhattacharjee, HK Singh, T Ray Journal of Mechanical Design, 2016 | 60 | 2016 |
| Efficient use of partially converged simulations in evolutionary optimization J Branke, M Asafuddoula, KS Bhattacharjee, T Ray IEEE Transactions on Evolutionary Computation 21 (1), 52-64, 2016 | 33 | 2016 |
| Multiple surrogate assisted multiobjective optimization using improved pre-selection KS Bhattacharjee, HK Singh, T Ray, J Branke 2016 IEEE congress on evolutionary computation (CEC), 4328-4335, 2016 | 32 | 2016 |
| Multiple surrogate-assisted many-objective optimization for computationally expensive engineering design KS Bhattacharjee, HK Singh, T Ray Journal of Mechanical Design 140 (5), 051403, 2018 | 29 | 2018 |
| A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set KS Bhattacharjee, HK Singh, T Ray Artificial Life and Computational Intelligence 9592, 66-77, 2016 | 27 | 2016 |
| Kinematic optimization of a flapping foil power generator using a multi-fidelity evolutionary algorithm Z Liu, KS Bhattacharjee, FB Tian, J Young, T Ray, JCS Lai Renewable energy 132, 543-557, 2019 | 26 | 2019 |
| Decomposition Based Evolutionary Algorithm with a Dual Set of Reference Vectors KS Bhattacharjee, HK Singh, T Ray, Q Zhang IEEE Congress on Evolutionary Computation, 2017, 2017 | 26 | 2017 |
| Multi-objective optimization using an evolutionary algorithm embedded with multiple spatially distributed surrogates KS Bhattacharjee, A Isaacs, T Ray Multi-Objective Optimization: Techniques and Application in Chemical …, 2017 | 17 | 2017 |
| A Novel Constraint Handling Strategy for Expensive Optimization Problems KS Bhattacharjee, T Ray 11th World Congress on Structural and Multidisciplinary Optimization, 2015 | 16 | 2015 |
| A novel decomposition-based evolutionary algorithm for engineering design optimization K Shankar Bhattacharjee, H Kumar Singh, T Ray Journal of Mechanical Design 139 (4), 041403, 2017 | 13 | 2017 |
| Welding Heat Transfer Analysis Using Element Free Galerkin Method R Das, KS Bhattacharjee, S Rao Advanced Materials Research 410, 298-304, 2012 | 11 | 2012 |
| Selective Evaluation in Multiobjective Optimization: A Less Explored Avenue KS Bhattacharjee, T Ray IEEE Congress on Evolutionary Computation (CEC), 1893-1900, 2015 | 7 | 2015 |
| An approach to generate comprehensive piecewise linear interpolation of pareto outcomes to aid decision making KS Bhattacharjee, HK Singh, T Ray Journal of Global Optimization, 2016 | 6 | 2016 |
| An Evolutionary Algorithm with Classifier Guided Constraint Evaluation Strategy for Computationally Expensive Optimization Problems KS Bhattacharjee, T Ray AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint …, 2015 | 5 | 2015 |
| A projection based approach for constructing piecewise linear Pareto front approximations HK Singh, KS Bhattacharjee, T Ray Journal of Mechanical Design, 2016 | 3 | 2016 |
| Many-Objective Optimization with Limited Computing Budget KS Bhattacharjee, HK Singh, T Ray High-Performance Simulation-Based Optimization, 17-46, 2020 | 2 | 2020 |
| Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study KS Bhattacharjee, HK Singh, T Ray Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019 | 2 | 2019 |
| Enhanced Pareto interpolation method to aid decision making for discontinuous Pareto optimal fronts KS Bhattacharjee, HK Singh, T Ray AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint …, 2017 | 2 | 2017 |
Professor Tapabrata RayUniversity of New South Wales, CanberraVerified email at adfa.edu.au