904 search results - page 78 / 181 » The State Problem for Evolutionary Testing |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
ICCAD
1997
IEEE
15 years 2 months ago
1997
IEEE
Asynchronous circuits operate correctly only under timing assumptions. Hence testing those circuits for delay faults is crucial. This paper describes a three-step method to detect...
VLSID
2005
IEEE
15 years 3 months ago
2005
IEEE
During pseudorandom testing, a significant amount of energy and test application time is wasted for generating and for applying “useless” test vectors that do not contribute t...
ISCI
2008
14 years 10 months ago
2008
Automatic software testing tools are still far from ideal for real world object-oriented (OO) software. The use of nature inspired search algorithms for this problem has been inve...