GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layout and exploring the role of mutation for this particular problem...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
The nature of computer networks and the manner in which network services are provided are changing dramatically. Network architectures that employ virtual mobile agents to provide...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Previous research demonstrated that Evolvable Hardware (EH) techniques can be employed to suppress Thermoacoustic (TA) instability in a computer simulated combustion chamber. Thou...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...