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ORCIDKalyan Shankar Bhattacharjee
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- affiliation: University of New South Wales, Sydney, New South Wales, Australia
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Books and Theses
- 2018
[b1]Kalyan Shankar Bhattacharjee:
Development of efficient algorithms for computationally expensive optimization problems. University of New South Wales, Sydney, Australia, 2018
Journal Articles
- 2019
- [j4]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) - 2017
- [j3]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) - [j2]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) - [j1]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)
Conference and Workshop Papers
- 2019
- [c9]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray:
Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study. EMO 2019: 707-718 - 2018
- [c8]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 - 2017
- [c7]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 - [c6]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 - 2016
- [c5]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 - [c4]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Jürgen Branke:
Multiple surrogate assisted multiobjective optimization using improved pre-selection. CEC 2016: 4328-4335 - 2015
- [c3]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 - [c2]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 - [c1]Kalyan Shankar Bhattacharjee, Tapabrata Ray:
Selective evaluation in multiobjective optimization: A less explored avenue. CEC 2015: 1893-1900
Parts in Books or Collections
- 2020
- [p1]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray:
Many-Objective Optimization with Limited Computing Budget. High-Performance Simulation-Based Optimization 2020: 17-46
Coauthor Index
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