Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data is a scholarly work by Mengjie Zhang and Mark D. Johnston, published in 2011 in ''IEEE Transactions on Systems, Man, and Cybernetics''. The main subjects of the publication include fitness function, training, validation, and test data sets, swarm intelligence, data mining, genetic programming, artificial intelligence, class, binary classification, process, machine learning, genetic algorithm, and computer science. The paper aims to both highlight the limitations of the current GP approaches in this area and develop several new fitness functions for binary classification with unbalanced data.