Sunith Bandaru

Sunith Bandaru

Högskolan i Skövde

H-index: 22

Europe-Sweden

About Sunith Bandaru

Sunith Bandaru, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Högskolan i Skövde, specializes in the field of multi-objective optimization, evolutionary algorithms, knowledge discovery, decision support, industrial analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Knowledge-Driven Multi-Objective Optimization Using Variable Importance

Mimer: A web-based tool for knowledge discovery in multi-criteria decision support

Erratum to “Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization”[European Journal of Operational Research 306 (2023 …

A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods

Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization

A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks

Quality inspection of multiple product variants using neural network modules

Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods

Sunith Bandaru Information

University

Position

___

Citations(all)

1627

Citations(since 2020)

992

Cited By

758

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

41

i10Index(since 2020)

31

Email

University Profile Page

Högskolan i Skövde

Google Scholar

View Google Scholar Profile

Sunith Bandaru Skills & Research Interests

multi-objective optimization

evolutionary algorithms

knowledge discovery

decision support

industrial analytics

Top articles of Sunith Bandaru

Title

Journal

Author(s)

Publication Date

Knowledge-Driven Multi-Objective Optimization Using Variable Importance

Henrik Smedberg

Sunith Bandaru

Amos HC Ng

2023

Mimer: A web-based tool for knowledge discovery in multi-criteria decision support

IEEE Computational Intelligence Magazine

Henrik Smedberg

Sunith Bandaru

Maria Riveiro

Amos HC Ng

2023

Erratum to “Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization”[European Journal of Operational Research 306 (2023 …

European Journal of Operational Research

Henrik Smedberg

Sunith Bandaru

2023/7/1

A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods

IEEE Transactions on Evolutionary Computation

Pouya Aghaei Pour

Sunith Bandaru

Bekir Afsar

Michael Emmerich

Kaisa Miettinen

2023/5/4

Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization

European Journal of Operational Research

Henrik Smedberg

Sunith Bandaru

2023/5/1

A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks

Journal of manufacturing systems

Mahesh Kumbhar

Amos HC Ng

Sunith Bandaru

2023/2/1

Quality inspection of multiple product variants using neural network modules

Fredrik Vuoluterä

2022

Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods

Pouya Aghaei Pour

Sunith Bandaru

Bekir Afsar

Kaisa Miettinen

2022/7/9

Using Augmented Reality technology to improve health and safety for workers in Human Robot Collaboration environment: A literature review

Dinesh Chemmanthitta Gopinath

2022

Digital-twin-based decision support of dynamic maintenance task prioritization using simulation-based optimization and genetic programming

Decision Analytics Journal

Marcus Frantzén

Sunith Bandaru

Amos HC Ng

2022/6/1

Algorithmic identification of faulty production stops using multiple data sources

Jesús Padilla Ruiz

2022

SPS2022: Proceedings of the 10th Swedish Production Symposium

Amos HC Ng

Anna Syberfeldt

Dan Högberg

2022/5/17

Enabling knowledge discovery from simulation-based multi-objective optimization in reconfigurable manufacturing systems

Carlos Alberto Barrera Diaz

Henrik Smedberg

Sunith Bandaru

Amos HC Ng

2022/12/11

Preference-based Evolutionary Multiobjective Optimization: Methods, Performance Indicators, and Applications

Pouya Aghaei Pour

2022

A novel QP-based kinematic redundancy resolution method with joint constraints satisfaction

IEEE Access

Łukasz Woliński

Marek Wojtyra

2022/4/14

Knowledge-Driven Multi-Objective Optimization for Reconfigurable Manufacturing Systems

Mathematical and Computational Applications

Henrik Smedberg

Carlos Alberto Barrera-Diaz

Amir Nourmohammadi

Sunith Bandaru

Amos HC Ng

2022/12/9

Bottleneck detection through data integration, process mining and factory physics-based analytics

Mahesh Kumbhar

Amos HC Ng

Sunith Bandaru

2022

Manufacturing Knowledge Management Using a Virtual Factory-Based Ontology Implemented in a Graph Database

Mehran Ghorbani Tajani

2022

A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms

Henrik Smedberg

Sunith Bandaru

2022/7/18

Comparison of undersampling methods for prediction of casting defects based on process parameters

Simon Lööv

2021

See List of Professors in Sunith Bandaru University(Högskolan i Skövde)

Co-Authors

H-index: 138
Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University

H-index: 49
Jesper Hattel

Jesper Hattel

Danmarks Tekniske Universitet

H-index: 30
Amos H.C. Ng

Amos H.C. Ng

Högskolan i Skövde

H-index: 20
David Greiner

David Greiner

Universidad de Las Palmas de Gran Canaria

H-index: 19
Prabhat Munshi

Prabhat Munshi

Indian Institute of Technology Kanpur

H-index: 13
Tehseen Aslam

Tehseen Aslam

Högskolan i Skövde

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