Sunith Bandaru
TitleCited byYear
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
712017
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
592014
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
582011
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
402010
A parameterless-niching-assisted bi-objective approach to multimodal optimization
S Bandaru, K Deb
2013 IEEE Congress on Evolutionary Computation, 95-102, 2013
332013
Automated innovization for simultaneous discovery of multiple rules in bi-objective problems
S Bandaru, K Deb
International Conference on Evolutionary Multi-Criterion Optimization, 1-15, 2011
322011
Data mining methods for knowledge discovery in multi-objective optimization: Part B-New developments and applications
S Bandaru, AHC Ng, K Deb
Expert Systems with Applications 70, 119-138, 2017
272017
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
232011
Non-uniform mapping in real-coded genetic algorithms
D Yashesh, K Deb, S Bandaru
2014 IEEE Congress on Evolutionary Computation (CEC), 2237-2244, 2014
212014
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
202015
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
202014
Higher-level innovization: A case study from friction stir welding process optimization
S Bandaru, CC Tutum, K Deb, JH Hattel
2011 IEEE Congress of Evolutionary Computation (CEC), 2782-2789, 2011
162011
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
142015
Higher and lower-level knowledge discovery from Pareto-optimal sets
S Bandaru, K Deb
Journal of Global Optimization 57 (2), 281-298, 2013
132013
Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization
S Bandaru, A Gaur, K Deb, V Khare, R Chougule, P Bandyopadhyay
Applied Soft Computing 30, 265-278, 2015
122015
A dimensionally-aware genetic programming architecture for automated innovization
S Bandaru, K Deb
International Conference on Evolutionary Multi-Criterion Optimization, 513-527, 2013
92013
Radial basis functions with a priori bias as surrogate models: A comparative study
K Amouzgar, S Bandaru, AHC Ng
Engineering Applications of Artificial Intelligence 71, 28-44, 2018
82018
Innovative design and analysis of production systems by multi-objective optimization and data mining
AHC Ng, S Bandaru, M Frantzén
Procedia CIRP 50, 665-671, 2016
82016
Temporal innovization: Evolution of design principles using multi-objective optimization
S Bandaru, K Deb
International Conference on Evolutionary Multi-Criterion Optimization, 79-93, 2015
82015
Temporal evolution of design principles in engineering systems: Analogies with human evolution
K Deb, S Bandaru, CC Tutum
International Conference on Parallel Problem Solving from Nature, 1-10, 2012
72012
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Articles 1–20