Sunith Bandaru

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 29

Top Topics

Uniformly Distributed

Knowledge Discovery

Evolutionary Algorithm

Optimization Methods

Top Venues

Eur. J. Oper. Res.

Publications

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) (2024)
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) (2024)
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) (2023)
Henrik Smedberg, Sunith Bandaru
Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization. Eur. J. Oper. Res. 306 (3) (2023)
Henrik Smedberg, Sunith Bandaru
A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms. CEC (2022)
Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Kaisa Miettinen
Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods. GECCO Companion (2022)
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)
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) (2021)
Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng
Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing. IEEE Access 9 (2021)
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)
Henrik Smedberg, Sunith Bandaru
Finding Influential Variables in Multi-Objective optimization Problems. SSCI (2020)
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)
Sunith Bandaru, Henrik Smedberg
A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. GECCO (2019)
Sunith Bandaru, Amos H. C. Ng
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. EMO (2019)
Kalyanmoy Deb, Sunith Bandaru, Haitham Seada
Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. EMO (2019)
Sunith Bandaru, Amos H. C. Ng
An empirical comparison of metamodeling strategies in noisy environments. GECCO (2018)
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 (2018)
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 (2017)
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 (2017)
Sunith Bandaru, Martin Andersson, Amos H. C. Ng
Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs. CEC (2016)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng
Tuning of Multiple Parameter Sets in Evolutionary Algorithms. GECCO (2016)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng
Towards optimal algorithmic parameters for simulation-based multi-objective optimization. CEC (2016)
Sunith Bandaru, Amos H. C. Ng
On the scalability of meta-models in simulation-based optimization of production systems. WSC (2015)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt
Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. EMO (1) (2015)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt
Parameter tuned CMA-ES on the CEC'15 expensive problems. CEC (2015)
Sunith Bandaru, Kalyanmoy Deb
Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. EMO (1) (2015)
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) (2015)
Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru
An interactive decision support system using simulation-based optimization and data mining. WSC (2015)
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 (2015)
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)
Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru
Non-uniform mapping in real-coded genetic algorithms. IEEE Congress on Evolutionary Computation (2014)
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 (2014)
Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru
Multi-objective optimization and analysis of the inventory management model. SummerSim (2014)
Sunith Bandaru, Kalyanmoy Deb
Higher and lower-level knowledge discovery from Pareto-optimal sets. J. Glob. Optim. 57 (2) (2013)
Sunith Bandaru, Kalyanmoy Deb
A parameterless-niching-assisted bi-objective approach to multimodal optimization. IEEE Congress on Evolutionary Computation (2013)
Sunith Bandaru, Kalyanmoy Deb
A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. EMO (2013)
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)
Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum
Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution. PPSN (2) (2012)
Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb
Modified SBX and adaptive mutation for real world single objective optimization. IEEE Congress on Evolutionary Computation (2011)
Sunith Bandaru, Kalyanmoy Deb
Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems. EMO (2011)
Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru
KKT proximity measure for testing convergence in smooth multi-objective optimization. GECCO (Companion) (2011)
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)
Sunith Bandaru, Kalyanmoy Deb
Design knowledge extraction in multi-objective optimization problems. GECCO (Companion) (2011)
Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule
Quantitative modeling of customer perception from service data using evolutionary optimization. GECCO (2011)
Sunith Bandaru, Kalyanmoy Deb
Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. IEEE Congress on Evolutionary Computation (2010)
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)
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)