3142 search results - page 77 / 629 » Solving Hierarchical Optimization Problems Using MOEAs |
EUSFLAT
2007
15 years 1 months ago
2007
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’...
TASE
2008
IEEE
14 years 11 months ago
2008
IEEE
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
ICML
2003
IEEE
16 years 20 days ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
AUTOMATICA
2007
15 years 2 hour ago
2007
This paper extends some duality results from a standard optimization setup to a noncooperative (Nash) game framework. A Nash game (NG) with coupled constraints is considered. Solv...
ICAC
2007
IEEE
15 years 6 months ago
2007
IEEE
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...