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» Efficiently evolving programs through the search for novelty
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ITC
2003
IEEE
148views Hardware» more  ITC 2003»
14 years 27 days ago
HyAC: A Hybrid Structural SAT Based ATPG for Crosstalk
As technology evolves into the deep sub-micron era, signal integrity problems are growing into a major challenge. An important source of signal integrity problems is the crosstalk...
Xiaoliang Bai, Sujit Dey, Angela Krstic
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 8 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolution of robust data distribution among digital organisms
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 8 months ago
Cooperative network construction using digital germlines
This paper describes a study in the evolution of cooperative behavior, specifically the construction of communication networks, through digital evolution and multilevel selection...
David B. Knoester, Philip K. McKinley, Charles Ofr...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski