2126 search results - page 153 / 426 » An optimization algorithm for imprecise multi-objective prob... |
205
click to vote
CORR
2008
Springer
15 years 6 months ago
2008
Springer
Recent work has shown how information theory extends conventional full-rationality game theory to allow bounded rational agents. The associated mathematical framework can be used ...
178
click to vote
GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
157
click to vote
GECCO
2009
Springer
16 years 28 days ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
158
click to vote
GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model ...
154
click to vote
GLVLSI
1998
IEEE
15 years 10 months ago
1998
IEEE
A new technology mapper SELF-Map for LookUp Table LUT based Field Programmable Gate Arrays FPGAs is described. SELF-Map is based on the Stochastic Evolution SE algorithm. The stat...