796 search results - page 101 / 160 » A multi-objective genetic algorithm for robust design optimi... |
GECCO
2004
Springer
14 years 2 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 2 months ago
2004
Springer
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...