Sunith Bandaru

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Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Amos H.C. NgProfessor of Production and Automation at University of Skövde; Visiting Professor of Automation, Optimization and Simulation at Uppsala University.Verified email at his.se
Henrik SmedbergUniversity of SkövdeVerified email at his.se
Kaveh AmouzgarUppsala UniversityVerified email at angstrom.uu.se
Cem C. TutumICON3DVerified email at iconbuild.com
gaspar-cunhaIPCVerified email at dep.uminho.pt
Haitham SeadaData Scientist - Ford Next - Ford Motor CompanyVerified email at ford.com
Tehseen AslamUniversity of SkövdeVerified email at his.se
David GreinerProfesor Titular de Universidad - SIANI - Universidad de Las Palmas de Gran Canaria (ULPGC)Verified email at ulpgc.es
Marcus FrantzénAI SwedenVerified email at evoma.se
Tobias AnderssonSenior LecturerVerified email at his.se
Abhinav Gaurstudent, michigan state universityVerified email at msu.edu
Prabhat MunshiIndian Institute of Technology KanpurVerified email at iitk.ac.in
Shyam Prasad KodaliAssociate Professor of Mechanical Engineering, K L UniversityVerified email at kluniversity.in
Jesper HattelProfessor, Mechanical Engineering, DTUVerified email at mek.dtu.dk
Assoc. Prof. Dr. Michael S. BittermannIstanbul Technical University (ITU)Verified email at itu.edu.tr
Rahul ChouguleAnalytics Leader, Vodafone

Sunith Bandaru

Professor of Production Engineering, School of Engineering Science, University of Skövde

Verified email at his.se - Homepage

multi-objective optimization industrial analytics knowledge discovery decision support systems


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Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey S Bandaru, AHC Ng, K Deb Expert Systems with Applications 70, 139-159, 2017	254	2017
Generating well-spaced points on a unit simplex for evolutionary many-objective optimization J Blank, K Deb, Y Dhebar, S Bandaru, H Seada IEEE Transactions on Evolutionary Computation 25 (1), 48-60, 2020	107	2020
Metaheuristic techniques S Bandaru, K Deb Decision sciences, 709-766, 2016	104	2016
List of references on evolutionary multiobjective optimization CAC Coello URL< http://www. lania. mx/~ ccoello/EMOO/EMOObib. html, 2010	103	2010
An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering K Deb, S Bandaru, D Greiner, A Gaspar-Cunha, CC Tutum Applied Soft Computing 15, 42-56, 2014	82	2014
Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique S Bandaru, K Deb Engineering optimization 43 (9), 911-941, 2011	81	2011
A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks M Kumbhar, AHC Ng, S Bandaru Journal of manufacturing systems 66, 92-106, 2023	75	2023
Evolutionary multi-criterion optimization K Deb Proceedings of the 12th annual conference companion on Genetic and …, 2010	62	2010
Differential evolution mutations: taxonomy, comparison and convergence analysis AW Mohamed, AA Hadi, AK Mohamed IEEE Access 9, 68629-68662, 2021	53	2021
Decision sciences: theory and practice RN Sengupta, A Gupta, J Dutta Crc Press, 2016	53	2016
A parameterless-niching-assisted bi-objective approach to multimodal optimization S Bandaru, K Deb 2013 IEEE congress on evolutionary computation, 95-102, 2013	52	2013
Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design S Bandaru, K Deb Ieee congress on evolutionary computation, 1-8, 2010	49	2010
On the performance of classification algorithms for learning Pareto-dominance relations S Bandaru, AHC Ng, K Deb 2014 IEEE Congress on evolutionary computation (CEC), 1139-1146, 2014	44	2014
Automated innovization for simultaneous discovery of multiple rules in bi-objective problems S Bandaru, K Deb Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011	43	2011
Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization H Smedberg, S Bandaru European Journal of Operational Research 306 (3), 1311-1329, 2023	41	2023
Big Data Optimization Techniques: A Survey. C Roy, SS Rautaray, M Pandey International Journal of Information Engineering & Electronic Business 10 (4), 2018	39	2018
Parameter tuned CMA-ES on the CEC'15 expensive problems M Andersson, S Bandaru, AHC Ng, A Syberfeldt 2015 IEEE congress on evolutionary computation (CEC), 1950-1957, 2015	37	2015
Modified SBX and adaptive mutation for real world single objective optimization S Bandaru, R Tulshyan, K Deb 2011 IEEE Congress of Evolutionary Computation (CEC), 1335-1342, 2011	36	2011
Generalized higher-level automated innovization with application to inventory management S Bandaru, T Aslam, AHC Ng, K Deb European Journal of Operational Research 243 (2), 480-496, 2015	35	2015
Non-uniform mapping in real-coded genetic algorithms D Yashesh, K Deb, S Bandaru 2014 IEEE congress on evolutionary computation (CEC), 2237-2244, 2014	35	2014

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