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» Using genetic programming to obtain implicit diversity
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GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
14 years 1 months ago
On the constructiveness of context-aware crossover
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 ...
Hammad Majeed, Conor Ryan
PKDD
1999
Springer
109views Data Mining» more  PKDD 1999»
13 years 12 months ago
Predicting Chemical Carcinogenesis Using Structural Information Only
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...
IISWC
2008
IEEE
14 years 2 months ago
Energy-aware application scheduling on a heterogeneous multi-core system
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...
Jian Chen, Lizy Kurian John
ICML
2002
IEEE
14 years 8 months ago
Learning the Kernel Matrix with Semi-Definite Programming
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. ...
RISE
2005
Springer
14 years 1 months ago
Software Testing with Evolutionary Strategies
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...
Enrique Alba, J. Francisco Chicano