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AAIP
2009
13 years 11 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
CEC
2010
IEEE
13 years 11 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
COMAD
2009
13 years 11 months ago
A Unified and Scalable Data Migration Service for the Cloud Environments
Data migration is one of the key operations in many enterprise data integration projects. While there are standard and well established tools for data migration, the enterprises r...
B. Gopi Krishna, E. Vengal Reddy, K. Jagadamba, Sr...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 10 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
SOFTVIS
2010
ACM
13 years 10 months ago
TIE: an interactive visualization of thread interleavings
Multi-core processors have become increasingly prevalent, driving a software shift toward concurrent programs which best utilize these processors. Testing and debugging concurrent...
Gowritharan Maheswara, Jeremy S. Bradbury, Christo...