Sunith Bandaru

51 papers A 5B 11C 4Misc 5Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Imbalanced data oversampling through subspace optimization with Bayesian reinforcement. Artif. Intell. Rev. Mahesh Kumbhar, Sunith Bandaru, Alexander Karlsson
2025	J	`jnl`	Comparison of unsupervised image anomaly detection models for sheet metal glue lines. Eng. Appl. Artif. Intell. Siyuan Chen, Sunith Bandaru, Silvan Marti, Ebru Turanoglu Bekar, Anders Skoogh
2025	J	`jnl`	Graph Databases for Group Decision Making in Industry: A Comprehensive Literature Review. IEEE Access Richard Senington, Amos H. C. Ng, Ludwig Mittermeier, Sunith Bandaru
2024	J	`jnl`	A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods. IEEE Trans. Evol. Comput. Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Michael Emmerich, Kaisa Miettinen
2024	Misc	`conf`	Enhancing Digital Twins With Deep Reinforcement Learning: A Use Case in Maintenance Prioritization. WSC Siyuan Chen, Paulo Victor Lopes, Silvan Marti, Mohan Rajashekarappa, Sunith Bandaru, Christina Windmark, Jon Bokrantz, Anders Skoogh
2024	J	`jnl`	Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes]. IEEE Comput. Intell. Mag. Henrik Smedberg, Sunith Bandaru, Maria Riveiro, Amos H. C. Ng
2023	J	`jnl`	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. Henrik Smedberg, Sunith Bandaru
2023	J	`jnl`	Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization. Eur. J. Oper. Res. Henrik Smedberg, Sunith Bandaru
2022	B	`conf`	A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms. CEC Henrik Smedberg, Sunith Bandaru
2022	—	`conf`	Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods. GECCO Companion Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Kaisa Miettinen
2022	Misc	`conf`	Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems. WSC Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng
2021	J	`jnl`	Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada
2021	J	`jnl`	Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing. IEEE Access Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng
2020	Misc	`conf`	Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach. WSC Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama
2020	—	`conf`	Finding Influential Variables in Multi-Objective optimization Problems. SSCI Henrik Smedberg, Sunith Bandaru
2020	B	`conf`	Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. CEC Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb
2019	A	`conf`	A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. GECCO Sunith Bandaru, Henrik Smedberg
2019	C	`conf`	Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. EMO Kalyanmoy Deb, Sunith Bandaru, Haitham Seada
2019	C	`conf`	Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. EMO Sunith Bandaru, Amos H. C. Ng
2018	A	`conf`	An empirical comparison of metamodeling strategies in noisy environments. GECCO Sunith Bandaru, Amos H. C. Ng
2018	J	`jnl`	Radial basis functions with a priori bias as surrogate models: A comparative study. Eng. Appl. Artif. Intell. Kaveh Amouzgar, Sunith Bandaru, Amos H. C. Ng
2017	J	`jnl`	Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey. Expert Syst. Appl. Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb
2017	J	`jnl`	Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications. Expert Syst. Appl. Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb
2016	B	`conf`	Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs. CEC Sunith Bandaru, Martin Andersson, Amos H. C. Ng
2016	B	`conf`	Towards optimal algorithmic parameters for simulation-based multi-objective optimization. CEC Martin Andersson, Sunith Bandaru, Amos H. C. Ng
2016	A	`conf`	Tuning of Multiple Parameter Sets in Evolutionary Algorithms. GECCO Martin Andersson, Sunith Bandaru, Amos H. C. Ng
2015	Misc	`conf`	An interactive decision support system using simulation-based optimization and data mining. WSC Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru
2015	J	`jnl`	Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization. Appl. Soft Comput. Sunith Bandaru, Abhinav Gaur, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule, Pulak Bandyopadhyay
2015	J	`jnl`	Generalized higher-level automated innovization with application to inventory management. Eur. J. Oper. Res. Sunith Bandaru, Tehseen Aslam, Amos H. C. Ng, Kalyanmoy Deb
2015	Misc	`conf`	On the scalability of meta-models in simulation-based optimization of production systems. WSC Sunith Bandaru, Amos H. C. Ng
2015	—	`conf`	Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. EMO (1) Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt
2015	B	`conf`	Parameter tuned CMA-ES on the CEC'15 expensive problems. CEC Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt
2015	—	`conf`	Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. EMO (1) Sunith Bandaru, Kalyanmoy Deb
2014	J	`jnl`	An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering. Appl. Soft Comput. Kalyanmoy Deb, Sunith Bandaru, David Greiner, António Gaspar-Cunha, Cem Celal Tutum
2014	—	`conf`	Multi-objective optimization and analysis of the inventory management model. SummerSim Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru
2014	B	`conf`	Non-uniform mapping in real-coded genetic algorithms. IEEE Congress on Evolutionary Computation Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru
2014	B	`conf`	On the performance of classification algorithms for learning Pareto-dominance relations. IEEE Congress on Evolutionary Computation Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb
2013	C	`conf`	A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. EMO Sunith Bandaru, Kalyanmoy Deb
2013	B	`conf`	A parameterless-niching-assisted bi-objective approach to multimodal optimization. IEEE Congress on Evolutionary Computation Sunith Bandaru, Kalyanmoy Deb
2013	J	`jnl`	Higher and lower-level knowledge discovery from Pareto-optimal sets. J. Glob. Optim. Sunith Bandaru, Kalyanmoy Deb
2012	—	`conf`	Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization. BIC-TA (1) Abhinav Gaur, Sunith Bandaru, Vineet R. Khare, Rahul Chougule, Kalyanmoy Deb
2012	—	`conf`	Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution. PPSN (2) Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum
2011	C	`conf`	Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems. EMO Sunith Bandaru, Kalyanmoy Deb
2011	—	`conf`	Design knowledge extraction in multi-objective optimization problems. GECCO (Companion) Sunith Bandaru, Kalyanmoy Deb
2011	B	`conf`	Higher-level innovization: A case study from Friction Stir Welding process optimization. IEEE Congress on Evolutionary Computation Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel
2011	—	`conf`	KKT proximity measure for testing convergence in smooth multi-objective optimization. GECCO (Companion) Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru
2011	B	`conf`	Modified SBX and adaptive mutation for real world single objective optimization. IEEE Congress on Evolutionary Computation Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb
2011	A	`conf`	Quantitative modeling of customer perception from service data using evolutionary optimization. GECCO Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule
2010	B	`conf`	Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. IEEE Congress on Evolutionary Computation Sunith Bandaru, Kalyanmoy Deb
2009	—	`conf`	Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography. ICANNGA Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore
2008	A	`conf`	Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. GECCO Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore