ISSRE
2002
IEEE
14 years 5 months ago
2002
IEEE
Fault insertion based techniqueshave been used for measuring test adequacy and testability of programs. Mutation analysis inserts faults into a program with the goal of creating m...
GECCO
2003
Springer
14 years 5 months ago
2003
Springer
This paper assumes a search space of fixed-length strings, where the size of the alphabet can vary from position to position. Structural crossover is mask-based crossover, and thu...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Using a directed mutation can improve the efficiency of processing many optimization problems. The first mutation operators of this kind proposed by Hildebrand [1], however, suffer...
GECCO
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...
AUSAI
2005
Springer
14 years 5 months ago
2005
Springer
: In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...
ICSM
2005
IEEE
14 years 5 months ago
2005
IEEE
Testing plays an important role in the maintenance of Component Based Software Development. Test adequacy for component testing is one of the hardest issues for component testing....
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
A new mutation concept is proposed to generalize local selection based Differential Evolution algorithm to work in general multimodal problems. Three variations of the proposed me...
DATE
2008
IEEE
14 years 6 months ago
2008
IEEE
Mutation analysis is a widely-adopted strategy in software testing with two main purposes: measuring the quality of test suites, and identifying redundant code in programs. Simila...
CEC
2009
IEEE
14 years 7 months ago
2009
IEEE
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...