92 search results - page 8 / 19 » Entropy-Driven Parameter Control for Evolutionary Algorithms |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
DAGM
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
ASUNAM
2010
IEEE
13 years 6 months ago
2010
IEEE
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
KES
2005
Springer
14 years 1 months ago
2005
Springer
This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic A...