Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently ...
This paper reports on the application of the Strongly Typed Evolutionary Programming System STEPS to the PTE2 challenge, which consists of predicting the carcinogenic activity of...
Claire J. Kennedy, Christophe G. Giraud-Carrier, D...
Heterogeneous multi-core processors are attractive for power efficient computing because of their ability to meet varied resource requirements of diverse applications in a workloa...
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of inp...