Multi-Objective Genetic Programming for Dataset Similarity Induction

Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

“…This paper highlights the importance of finding correct fitness evaluation strategies for MOGP and concludes that, for this particular problem, SPEA2 is preferable to NSGA2. Many other studies have focused on MOGP for classification problems that make use of custom operators; see for instance (Diosan and Andreica, 2015;Smid et al, 2015;Lazarus, 2015;Hiroyasu et al, 2015). One of the most comprehensive efforts to assess a range of MOGPs for classification problems through the receiver operating characteristic (ROC) was presented by Wang (Wang et al, 2014).…”