102 search results - page 7 / 21 » Variable-Dimensional Optimization with Evolutionary Algorith... |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
CGI
1999
IEEE
13 years 12 months ago
1999
IEEE
This paper focuses on an approach to modeling shapes through the use of evolutionary optimization or genetic algorithms for functionally represented geometric objects. This repres...
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...