Student Workshop on Bioinspired Optimization Methods and their Applications, BIOMA 2014, Ljubljana, Slovenia, 13 September 2014, pp.93-104
In this study, we present the results obtained for the parallel CUDA implementation of the previously proposed desirability-based scalarization approach for the solution of the multi-objective optimization problems. Our simulations show that compared to the sequential Java implementation, it is possible to find the same solutions (up to 16-time faster manner) by parallel CUDA implementation. We also try to outline our experiences of troubleshooting throughout the implementation as guidelines for upcoming researchers working in the same field.