311 search results - page 13 / 63 » Improving the performance of evolutionary algorithms for dec... |
GECCO
2006
Springer
14 years 11 days ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
AI
2004
Springer
14 years 2 months ago
2004
Springer
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
KDD
1994
ACM
14 years 24 days ago
1994
ACM
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
FLAIRS
2006
13 years 10 months ago
2006
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...