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GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
14 years 2 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
ICML
2010
IEEE
13 years 11 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
COMPSAC
2011
IEEE
12 years 9 months ago
Precise Propagation of Fault-Failure Correlations in Program Flow Graphs
Abstract—Statistical fault localization techniques find suspicious faulty program entities in programs by comparing passed and failed executions. Existing studies show that such ...
Zhenyu Zhang, W. K. Chan, T. H. Tse, Bo Jiang
WMPI
2004
ACM
14 years 3 months ago
Selective main memory compression by identifying program phase changes
During a program’s runtime, the stack and data segments of the main memory often contain much redundancy, which makes them good candidates for compression. Compression and decomp...
Doron Nakar, Shlomo Weiss
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
14 years 1 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim