On vehicle surrogate learning with genetic programming ensembles

Mathematics

• Genetic Programming 100%
• Surrogate 87%
• Ensemble 71%
• Learning 65%
• Product Design 44%
• Market Segmentation 27%
• Scenarios 26%
• Granularity 19%
• Number of Clusters 18%
• Data-driven 16%
• Building Blocks 16%
• Training 15%
• Market 14%
• Clustering 13%
• Optimization 10%
• Testing 10%
• Observation 9%
• Relationships 8%
• Performance 8%
• Model 4%

Engineering & Materials Science

• Genetic programming 83%
• Product design 71%
• Testing 18%
• Experiments 12%