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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
CN
1999
100views more  CN 1999»
13 years 7 months ago
Testing protocols modeled as FSMs with timing parameters
An optimization method is introduced for generating minimum-length test sequences taking into account timing constraints for FSM models of communication protocols. Due to active t...
M. Ümit Uyar, Mariusz A. Fecko, Adarshpal S. ...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
ITC
1996
IEEE
96views Hardware» more  ITC 1996»
13 years 12 months ago
A Roadmap for Boundary-Scan Test Reuse
This paper proposes a Layered Model for boundaryscan testing to help identify opportunities for standardization. Serial Vector Format [1] and an accompanying Application Programmi...
D. Eugene Wedge, Tom Conner
CSCLP
2004
Springer
13 years 11 months ago
Constraint-Based Approaches to the Covering Test Problem
Covering arrays have been studied for their applications to drug screening and software and hardware testing. In this paper, we model the problem as a constraint program. Our propo...
Brahim Hnich, Steven David Prestwich, Evgeny Selen...