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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli
AI
2010
Springer
15 years 6 months ago
Implementing logical connectives in constraint programming
Combining constraints using logical connectives such as disjunction is ubiquitous in constraint programming, because it adds considerable expressive power to a constraint language...
Christopher Jefferson, Neil C. A. Moore, Peter Nig...
CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 6 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
IOR
2006
177views more  IOR 2006»
15 years 6 months ago
Combinatorial Benders' Cuts for Mixed-Integer Linear Programming
Mixed-Integer Programs (MIP's) involving logical implications modelled through big-M coefficients, are notoriously among the hardest to solve. In this paper we propose and an...
Gianni Codato, Matteo Fischetti
KBSE
2010
IEEE
15 years 5 months ago
Test generation to expose changes in evolving programs
Software constantly undergoes changes throughout its life cycle, and thereby it evolves. As changes are introduced into a code base, we need to make sure that the effect of the ch...
Dawei Qi, Abhik Roychoudhury, Zhenkai Liang