159 search results - page 13 / 32 » Solving NP-Complete Problems With Networks of Evolutionary P... |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...