190 search results - page 9 / 38 » An Incremental Sampling-based Algorithm for Stochastic Optim... |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
CDC
2009
IEEE
13 years 6 months ago
2009
IEEE
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
MP
2006
13 years 8 months ago
2006
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
AAAI
2004
13 years 10 months ago
2004
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
CDC
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...