GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Many challenges remain in the development of tactical planning systems that will enable automated, cooperative replanning of routes and mission assignments for multiple unmanned gr...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
A rectilinear Steiner arborescence connects points in the Euclidean plane’s first quadrant and the origin with directed rectilinear edges from the origin up and to the right. Th...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Permutations of vertices can represent constrained spanning trees for evolutionary search via a decoder based on Prim’s algorithm, and random keys can represent permutations. Tho...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. This paper continues our systematic study of an RNAediting computational model of Genetic Algorithms (GA). This model is constructed based on several genetic editing char...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Coevolution can in principle provide progress for problems where no accurate evaluation function is available. An important open question however is how coevolution can be set up s...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...