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Sunith Bandaru
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2020 – today
- 2024
- [j13]Henrik Smedberg, Sunith Bandaru, Maria Riveiro, Amos H. C. Ng:
Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes]. IEEE Comput. Intell. Mag. 19(3): 73-87 (2024) - [j12]Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Michael Emmerich, Kaisa Miettinen:
A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods. IEEE Trans. Evol. Comput. 28(3): 778-787 (2024) - 2023
- [j11]Henrik Smedberg, Sunith Bandaru:
Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization. Eur. J. Oper. Res. 306(3): 1311-1329 (2023) - [j10]Henrik Smedberg, Sunith Bandaru:
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. 308(1): 496-497 (2023) - 2022
- [c34]Henrik Smedberg, Sunith Bandaru:
A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms. CEC 2022: 1-8 - [c33]Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Kaisa Miettinen:
Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods. GECCO Companion 2022: 1803-1811 - [c32]Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng:
Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems. WSC 2022: 1794-1805 - 2021
- [j9]Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng:
Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing. IEEE Access 9: 145382-145396 (2021) - [j8]Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada:
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(1): 48-60 (2021) - 2020
- [c31]Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. CEC 2020: 1-8 - [c30]Henrik Smedberg, Sunith Bandaru:
Finding Influential Variables in Multi-Objective optimization Problems. SSCI 2020: 173-180 - [c29]Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama:
Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach. WSC 2020: 3045-3056
2010 – 2019
- 2019
- [c28]Kalyanmoy Deb, Sunith Bandaru, Haitham Seada:
Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. EMO 2019: 179-190 - [c27]Sunith Bandaru, Amos H. C. Ng:
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. EMO 2019: 605-617 - [c26]Sunith Bandaru, Henrik Smedberg:
A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. GECCO 2019: 499-506 - 2018
- [j7]Kaveh Amouzgar, Sunith Bandaru, Amos H. C. Ng:
Radial basis functions with a priori bias as surrogate models: A comparative study. Eng. Appl. Artif. Intell. 71: 28-44 (2018) - [c25]Sunith Bandaru, Amos H. C. Ng:
An empirical comparison of metamodeling strategies in noisy environments. GECCO 2018: 817-824 - 2017
- [j6]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications. Expert Syst. Appl. 70: 119-138 (2017) - [j5]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey. Expert Syst. Appl. 70: 139-159 (2017) - 2016
- [c24]Sunith Bandaru, Martin Andersson, Amos H. C. Ng:
Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs. CEC 2016: 1909-1916 - [c23]Martin Andersson, Sunith Bandaru, Amos H. C. Ng:
Towards optimal algorithmic parameters for simulation-based multi-objective optimization. CEC 2016: 5162-5169 - [c22]Martin Andersson, Sunith Bandaru, Amos H. C. Ng:
Tuning of Multiple Parameter Sets in Evolutionary Algorithms. GECCO 2016: 533-540 - 2015
- [j4]Sunith Bandaru, Abhinav Gaur, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule, Pulak Bandyopadhyay:
Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization. Appl. Soft Comput. 30: 265-278 (2015) - [j3]Sunith Bandaru, Tehseen Aslam, Amos H. C. Ng, Kalyanmoy Deb:
Generalized higher-level automated innovization with application to inventory management. Eur. J. Oper. Res. 243(2): 480-496 (2015) - [c21]Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt:
Parameter tuned CMA-ES on the CEC'15 expensive problems. CEC 2015: 1950-1957 - [c20]Sunith Bandaru, Kalyanmoy Deb:
Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. EMO (1) 2015: 79-93 - [c19]Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt:
Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. EMO (1) 2015: 233-247 - [c18]Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru:
An interactive decision support system using simulation-based optimization and data mining. WSC 2015: 2112-2123 - [c17]Sunith Bandaru, Amos H. C. Ng:
On the scalability of meta-models in simulation-based optimization of production systems. WSC 2015: 3644-3655 - 2014
- [j2]Kalyanmoy Deb, Sunith Bandaru, David Greiner, António Gaspar-Cunha, Cem Celal Tutum:
An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering. Appl. Soft Comput. 15: 42-56 (2014) - [c16]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
On the performance of classification algorithms for learning Pareto-dominance relations. IEEE Congress on Evolutionary Computation 2014: 1139-1146 - [c15]Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru:
Non-uniform mapping in real-coded genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 2237-2244 - [c14]Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru:
Multi-objective optimization and analysis of the inventory management model. SummerSim 2014: 14 - 2013
- [j1]Sunith Bandaru, Kalyanmoy Deb:
Higher and lower-level knowledge discovery from Pareto-optimal sets. J. Glob. Optim. 57(2): 281-298 (2013) - [c13]Sunith Bandaru, Kalyanmoy Deb:
A parameterless-niching-assisted bi-objective approach to multimodal optimization. IEEE Congress on Evolutionary Computation 2013: 95-102 - [c12]Sunith Bandaru, Kalyanmoy Deb:
A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. EMO 2013: 513-527 - 2012
- [c11]Abhinav Gaur, Sunith Bandaru, Vineet R. Khare, Rahul Chougule, Kalyanmoy Deb:
Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization. BIC-TA (1) 2012: 111-122 - [c10]Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum:
Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution. PPSN (2) 2012: 1-10 - 2011
- [c9]Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb:
Modified SBX and adaptive mutation for real world single objective optimization. IEEE Congress on Evolutionary Computation 2011: 1335-1342 - [c8]Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
Higher-level innovization: A case study from Friction Stir Welding process optimization. IEEE Congress on Evolutionary Computation 2011: 2782-2789 - [c7]Sunith Bandaru, Kalyanmoy Deb:
Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems. EMO 2011: 1-15 - [c6]Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru:
KKT proximity measure for testing convergence in smooth multi-objective optimization. GECCO (Companion) 2011: 93-94 - [c5]Sunith Bandaru, Kalyanmoy Deb:
Design knowledge extraction in multi-objective optimization problems. GECCO (Companion) 2011: 787-790 - [c4]Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule:
Quantitative modeling of customer perception from service data using evolutionary optimization. GECCO 2011: 1763-1770 - 2010
- [c3]Sunith Bandaru, Kalyanmoy Deb:
Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c2]Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore:
Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography. ICANNGA 2009: 253-262 - 2008
- [c1]Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore:
Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. GECCO 2008: 1705-1706
Coauthor Index
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