Sunith Bandaru
Sunith Bandaru
Associate Professor, School of Engineering Science, University of Skövde
Verified email at - Homepage
Cited by
Cited by
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
List of references on evolutionary multiobjective optimization
CAC Coello
URL< http://www. lania. mx/~ ccoello/EMOO/EMOObib. html, 2010
Metaheuristic techniques
S Bandaru, K Deb
Decision sciences, 709-766, 2016
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
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
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
Evolutionary multi-criterion optimization
K Deb
Proceedings of the 12th annual conference companion on Genetic and …, 2010
A parameterless-niching-assisted bi-objective approach to multimodal optimization
S Bandaru, K Deb
2013 IEEE congress on evolutionary computation, 95-102, 2013
Differential evolution mutations: taxonomy, comparison and convergence analysis
AW Mohamed, AA Hadi, AK Mohamed
IEEE Access 9, 68629-68662, 2021
Decision sciences: theory and practice
RN Sengupta, A Gupta, J Dutta
Crc Press, 2016
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
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
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
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
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
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
Big Data Optimization Techniques: A Survey.
C Roy, SS Rautaray, M Pandey
International Journal of Information Engineering & Electronic Business 10 (4), 2018
Non-uniform mapping in real-coded genetic algorithms
D Yashesh, K Deb, S Bandaru
2014 IEEE congress on evolutionary computation (CEC), 2237-2244, 2014
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
List of references on constraint-handling techniques used with evolutionary algorithms
CAC Coello, CSP Zacatenco
Information Sciences 191, 146-168, 2012
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