Sunith Bandaru

Orcid: 0000-0001-5436-2128

According to our database1, Sunith Bandaru authored at least 47 papers between 2008 and 2024.

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Bibliography

2024
Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes].
IEEE Comput. Intell. Mag., August, 2024

A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods.
IEEE Trans. Evol. Comput., June, 2024

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

Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization.
Eur. J. Oper. Res., 2023

2022
Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems.
Proceedings of the Winter Simulation Conference, 2022

Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2021

Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing.
IEEE Access, 2021

2020
Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach.
Proceedings of the Winter Simulation Conference, 2020

Finding Influential Variables in Multi-Objective optimization Problems.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A parameterless performance metric for reference-point based multi-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Radial basis functions with a priori bias as surrogate models: A comparative study.
Eng. Appl. Artif. Intell., 2018

An empirical comparison of metamodeling strategies in noisy environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey.
Expert Syst. Appl., 2017

Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications.
Expert Syst. Appl., 2017

2016
Tuning of Multiple Parameter Sets in Evolutionary Algorithms.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards optimal algorithmic parameters for simulation-based multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Generalized higher-level automated innovization with application to inventory management.
Eur. J. Oper. Res., 2015

Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization.
Appl. Soft Comput., 2015

An interactive decision support system using simulation-based optimization and data mining.
Proceedings of the 2015 Winter Simulation Conference, 2015

On the scalability of meta-models in simulation-based optimization of production systems.
Proceedings of the 2015 Winter Simulation Conference, 2015

Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Parameter Tuning of MOEAs Using a Bilevel Optimization Approach.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Parameter tuned CMA-ES on the CEC'15 expensive problems.
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.
Appl. Soft Comput., 2014

Multi-objective optimization and analysis of the inventory management model.
Proceedings of the 2014 Summer Simulation Multiconference, 2014

Non-uniform mapping in real-coded genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

On the performance of classification algorithms for learning Pareto-dominance relations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Higher and lower-level knowledge discovery from Pareto-optimal sets.
J. Glob. Optim., 2013

A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A parameterless-niching-assisted bi-objective approach to multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution.
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.
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.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Quantitative modeling of customer perception from service data using evolutionary optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Design knowledge extraction in multi-objective optimization problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Higher-level innovization: A case study from Friction Stir Welding process optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Modified SBX and adaptive mutation for real world single objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008


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