Sunith Bandaru

Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK

2019. Konferensbidrag. https://doi.org/10.3233/ATDE190027

A framework for simulation based multi-objective optimization and knowledge discovery of machining process

Kaveh Amouzgar, Sunith Bandaru, Tobias J. Andersson, Amos H. C. Ng

The International Journal of Advanced Manufacturing Technology

2018. Artikel. https://doi.org/10.1007/s00170-018-2360-8 Open Access

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

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

Engineering applications of artificial intelligence

2018. Artikel. https://doi.org/10.1016/j.engappai.2018.02.006

An empirical comparison of metamodeling strategies in noisy environments

Sunith Bandaru, Amos H. C. Ng

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2018)

2018. Konferensbidrag. https://doi.org/10.1145/3205455.3205509

Metaheuristic Techniques

Sunith Bandaru, Kalyanmoy Deb

Decision Sciences: Theory and Practice

2017. Kapitel i bok. https://doi.org/10.1201/9781315183176

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

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

Expert systems with applications

2017. Artikel, forskningsöversikt. https://doi.org/10.1016/j.eswa.2016.10.015

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 systems with applications

2017. Artikel. https://doi.org/10.1016/j.eswa.2016.10.016

Towards Optimal Algorithmic Parameters for Simulation-Based Multi-Objective Optimization

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

2016 IEEE Congress on Evolutionary Computation (CEC)

2016. Konferensbidrag. https://doi.org/10.1109/CEC.2016.7748344

Tuning of Multiple Parameter Sets in Evolutionary Algorithms

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

GECCO'16: Proceedings of the 2016 genetic and evolutionary computation conference

2016. Konferensbidrag. https://doi.org/10.1145/2908812.2908899

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

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

2016 IEEE Congress on Evolutionary Computation (CEC)

2016. Konferensbidrag. https://doi.org/10.1109/CEC.2016.7744021

Innovative Design and Analysis of Production Systems by Multi-objective Optimization and Data Mining

Amos H.C. Ng, Sunith Bandaru, Marcus Frantzén

Procedia CIRP

2016. Artikel. https://doi.org/10.1016/j.procir.2016.04.159 Open Access

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

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

Evolutionary Computation

2015. Konferensbidrag. https://doi.org/10.1109/CEC.2015.7257124

Parameter Tuning of MOEAs Using a Bilevel Optimization Approach

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

Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I

2015. Konferensbidrag. https://doi.org/10.1007/978-3-319-15934-8_16

Generalized higher-level automated innovization with application to inventory management

Sunith Bandaru, Tehseen Aslam, Amos Ng, Kalyanmoy Deb

European Journal of Operational Research

2015. Artikel. https://doi.org/10.1016/j.ejor.2014.11.015

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

Sunith Bandaru, Kalyanmoy Deb

Proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015)

2015. Konferensbidrag. https://doi.org/10.1007/978-3-319-15934-8_6

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

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

Applied Soft Computing

2015. Artikel. https://doi.org/10.1016/j.asoc.2015.01.014

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. Konferensbidrag. https://doi.org/10.1109/WSC.2015.7408523

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. Konferensbidrag. https://doi.org/10.1109/WSC.2015.7408325

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. Konferensbidrag.

On the Performance of Classification Algorithms for Learning Pareto-Dominance Relations

Sunith Bandaru, Amos Ng, Kalyanmoy Deb

Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC)

2014. Konferensbidrag. https://doi.org/10.1109/CEC.2014.6900641

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

Applied Soft Computing

2014. Artikel. https://doi.org/10.1016/j.asoc.2013.10.011

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