Kalyanmoy Deb, Sunith Bandaru, Haitham Seada (2020). Generating uniformly distributed points on a unit simplex for evolutionary...

Henrik Smedberg, Sunith Bandaru, Amos H.C. Ng & Kalyanmoy Deb (2020). Trend Mining 2.0: Automating the Discovery of Variable Trends in...

Henrik Smedberg & Sunith Bandaru (2020). Finding Influential Variables in Multi-Objective optimization Problems. Conference paper: 2020...

Amos H.C. Ng & Sunith Bandaru (2020). Virtual Factories with Knowledge-DrivenOptimization as a New Research Profile. Research Article:...

Bandaru, S., & Ng, A. H. C. (2019). Trend mining: A visualization technique to discover variable trends in the objective space. In...

Bandaru, S., & Smedberg, H. (2019). A parameterless performance metric for reference-point based multi-objective evolutionary algorithms....

Deb, K., Bandaru, S., & Seada, H. (2019). Generating uniformly distributed points on a unit simplex for evolutionary many-objective...

Amouzgar, K., Bandaru, S., Andersson, T., & Ng, A. H. C. (2019). Metamodel-based multi-objective optimization of a turning process by...

Wang, W., Bandaru, S., & Sánchez de Ocãna Torroba, A. (2019). Improved Human-Robot Collaboration Through Simulation-Based Optimization....

Amouzgar, K., Bandaru, S., Andersson, T., & Ng, A. H. C. (2018). A framework for simulation-based multi-objective optimization and...

Morshedzadeh, I., Oscarsson, J., Ng, A. H. C., Jeusfeld, M. A., & Sillanpaa, J. (2018). Product lifecycle management with provenance...

Andersson, M., & Ng, A. H. C. (2018). Parameter Tuning Evolutionary Algorithms for Runtime versus Cost Trade-off in a Cloud Computing...

Bandaru, S., Ng, A. H. C., & Deb, K. (2017). Data mining methods for knowledge discovery in multi-objective optimization: Part B - New...