Kalyan Shankar Bhattacharjee

Affiliations:
  • University of New South Wales, Sydney, New South Wales, Australia


According to our database1, Kalyan Shankar Bhattacharjee authored at least 15 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Many-Objective Optimization with Limited Computing Budget.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

2019
Distance-Based Subset Selection for Benchmarking in Evolutionary Multi/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Development of efficient algorithms for computationally expensive optimization problems.
PhD thesis, 2018

Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Efficient Use of Partially Converged Simulations in Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2017

Bridging the Gap: Many-Objective Optimization and Informed Decision-Making.
IEEE Trans. Evol. Comput., 2017

An approach to generate comprehensive piecewise linear interpolation of pareto outcomes to aid decision making.
J. Glob. Optim., 2017

Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

2016
Multiple surrogate assisted multiobjective optimization using improved pre-selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Selective evaluation in multiobjective optimization: A less explored avenue.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Cost to Evaluate Versus Cost to Learn? Performance of Selective Evaluation Strategies in Multiobjective Optimization.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

An Evolutionary Algorithm with Classifier Guided Constraint Evaluation Strategy for Computationally Expensive Optimization Problems.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015


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