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IWANN
1995
Springer
13 years 11 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
COR
2008
103views more  COR 2008»
13 years 7 months ago
A tabu search algorithm for structural software testing
This paper presents a tabu search metaheuristic algorithm for the automatic generation of structural software tests. It is a novel work since tabu search is applied to the automat...
Eugenia Díaz, Javier Tuya, Raquel Blanco, J...
IIE
2007
159views more  IIE 2007»
13 years 7 months ago
Creating and Visualizing Test Data from Programming Exercises
Automatic assessment of programming exercises is typically based on testing approach. Most automatic assessment frameworks execute tests and evaluate test results automatically, bu...
Petri Ihantola
JAIR
1998
97views more  JAIR 1998»
13 years 7 months ago
The Divide-and-Conquer Subgoal-Ordering Algorithm for Speeding up Logic Inference
It is common to view programs as a combination of logic and control: the logic part de nes what the program must do, the control part how to do it. The Logic Programming paradigm ...
Oleg Ledeniov, Shaul Markovitch