SEMCCO
2010
13 years 10 months ago
2010
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
SSIRI
2010
13 years 10 months ago
2010
— Model-based approaches, especially based on directed graphs (DG), are becoming popular for mutation testing as they enable definition of simple, nevertheless powerful, mutation...
ICST
2010
IEEE
13 years 10 months ago
2010
IEEE
—Mutation testing measures the adequacy of a test suite by seeding artificial defects (mutations) into a program. If a test suite fails to detect a mutation, it may also fail to...
ENTCS
2002
14 years 3 days ago
2002
This article discusses mutation testing strategies in the context of refinement. Here, a novel generalization of mutation testing techniques is presented to be applied to contract...
ALIFE
2004
14 years 5 days ago
2004
We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genomes adjust to the harsh mutational environment, the mean effect of single mutatio...
ICGA
1993
14 years 1 months ago
1993
The dynamic behavior of mutation and crossover is investigated with the Breeder Genetic Algorithm. The main emphasis is on binary functions. The genetic operators are compared nea...
DMIN
2006
14 years 1 months ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
GECCO
2006
Springer
14 years 4 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
EPS
1997
Springer
14 years 4 months ago
1997
Springer
Abstract. In Neo-Darwinism, mutation can be considered to be unaffected by selection pressure. This is the metaphor generally used by the genetic algorithm for its treatment of the...
SIGGRAPH
1997
ACM
14 years 4 months ago
1997
ACM
We present a new Monte Carlo method for solving the light transport problem, inspired by the Metropolis sampling method in computational physics. To render an image, we generate a...