Sciweavers

18 search results - page 1 / 4
» An empirical analysis of the grouping genetic algorithm: the...
Sort
View
CEC
2005
IEEE
13 years 10 months ago
An empirical analysis of the grouping genetic algorithm: the timetabling case
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
Rhydian Lewis, Ben Paechter
EVOW
2005
Springer
13 years 10 months ago
Application of the Grouping Genetic Algorithm to University Course Timetabling
University Course Timetabling-Problems (UCTPs) involve the allocation of resources (such as rooms and timeslots) to all the events of a university, satisfying a set of hard-constra...
Rhydian Lewis, Ben Paechter
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 6 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
TSE
2010
197views more  TSE 2010»
12 years 11 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
13 years 8 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack