… Studying the SPEA2 algorithm for optimising a pattern-recognition based machine translation
system. In: Proceedings of the 2011 IEEE symposium on computational intelligence in …

… For the 9:1 learn-to-test ratio, our approach with 94.3% average … -based optimization are
outlined. Two MOEOAs are employed and compared, ie, the well-known SPEA2 and our SPEA2’…

… a model-based machine translation system using large monolithic … study reported using
a specific machine translation to represent the test that SPEA2 was chosen as the optimization …

… , text mining, and pattern recognition. However, finding significant … To study such enriched
literature, we categorized the … use SPEA2 as the primary multi-objective optimization method. …

… , text mining, and pattern recognition. However, inding signiicant … To study such enriched
literature, we categorized the … use SPEA2 as the primary multi-objective optimization method. …

… This study used a genetic algorithm to optimize the … , such as economics, medical diagnosis,
and pattern recognition. … Therefore, for the problem in this study, SPEA2 provided the best …

… such as classification, pattern recognition, optimization, etc. For … This study showed that the
LM algorithm outperforms the … of the used algorithms (NSGA II, MOEA/D, SMOPSO, SPEA 2), …

… ), to solve pattern recognition and computer vision challenges… deploying genetic algorithms,
such as NSGA-II, SPEA-2, etc. … the primary optimization goal of the genetic algorithm-based …

… (SMGSA) to achieve simultaneous optimization of two … , this study indicates that the swarm
intelligence-based … technology from a statistical pattern recognition perspective, but it is not …

… Studying the SPEA2 algorithm for optimising a pattern-recognition based machine translation
system. In: Proceedings of the 2011 IEEE symposium on computational intelligence in …