Sunith Bandaru

According to our database, Sunith Bandaru authored at least 45 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Erratum to "Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization" [European Journal of Operational Research 306 (2023) 1311-1329].

Henrik Smedberg, Sunith Bandaru

Eur. J. Oper. Res., July, 2023

Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization.

Henrik Smedberg, Sunith Bandaru

Eur. J. Oper. Res., 2023

2022

Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems.

Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng

Proceedings of the Winter Simulation Conference, 2022

Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods.

Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Kaisa Miettinen

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms.

Henrik Smedberg, Sunith Bandaru

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization.

Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada

IEEE Trans. Evol. Comput., 2021

Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing.

Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng

IEEE Access, 2021

2020

Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach.

Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama

Proceedings of the Winter Simulation Conference, 2020

Finding Influential Variables in Multi-Objective optimization Problems.

Henrik Smedberg, Sunith Bandaru

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space.

Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A parameterless performance metric for reference-point based multi-objective evolutionary algorithms.

Sunith Bandaru, Henrik Smedberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization.

Kalyanmoy Deb, Sunith Bandaru, Haitham Seada

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space.

Sunith Bandaru, Amos H. C. Ng

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

Radial basis functions with a priori bias as surrogate models: A comparative study.

Kaveh Amouzgar, Sunith Bandaru, Amos H. C. Ng

Eng. Appl. Artif. Intell., 2018

An empirical comparison of metamodeling strategies in noisy environments.

Sunith Bandaru, Amos H. C. Ng

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey.

Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Expert Syst. Appl., 2017

Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications.

Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Expert Syst. Appl., 2017

2016

Tuning of Multiple Parameter Sets in Evolutionary Algorithms.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs.

Sunith Bandaru, Martin Andersson, Amos H. C. Ng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards optimal algorithmic parameters for simulation-based multi-objective optimization.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Generalized higher-level automated innovization with application to inventory management.

Sunith Bandaru, Tehseen Aslam, Amos H. C. Ng, Kalyanmoy Deb

Eur. J. Oper. Res., 2015

Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization.

Sunith Bandaru, Abhinav Gaur, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule, Pulak Bandyopadhyay

Appl. Soft Comput., 2015

An interactive decision support system using simulation-based optimization and data mining.

Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru

Proceedings of the 2015 Winter Simulation Conference, 2015

On the scalability of meta-models in simulation-based optimization of production systems.

Sunith Bandaru, Amos H. C. Ng

Proceedings of the 2015 Winter Simulation Conference, 2015

Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization.

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Parameter Tuning of MOEAs Using a Bilevel Optimization Approach.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Parameter tuned CMA-ES on the CEC'15 expensive problems.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering.

Kalyanmoy Deb, Sunith Bandaru, David Greiner, António Gaspar-Cunha, Cem Celal Tutum

Appl. Soft Comput., 2014

Multi-objective optimization and analysis of the inventory management model.

Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru

Proceedings of the 2014 Summer Simulation Multiconference, 2014

Non-uniform mapping in real-coded genetic algorithms.

Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

On the performance of classification algorithms for learning Pareto-dominance relations.

Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Higher and lower-level knowledge discovery from Pareto-optimal sets.

Sunith Bandaru, Kalyanmoy Deb

J. Glob. Optim., 2013

A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization.

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A parameterless-niching-assisted bi-objective approach to multimodal optimization.

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution.

Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization.

Abhinav Gaur, Sunith Bandaru, Vineet R. Khare, Rahul Chougule, Kalyanmoy Deb

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

2011

KKT proximity measure for testing convergence in smooth multi-objective optimization.

Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Quantitative modeling of customer perception from service data using evolutionary optimization.

Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Design knowledge extraction in multi-objective optimization problems.

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems.

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Higher-level innovization: A case study from Friction Stir Welding process optimization.

Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Modified SBX and adaptive mutation for real world single objective optimization.

Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design.

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography.

Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008

Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography.

Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore

Proceedings of the Genetic and Evolutionary Computation Conference, 2008