3467 search results - page 124 / 694 » Function Optimization with Coevolutionary Algorithms |
188
click to vote
GECCO
2011
Springer
14 years 4 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
128
click to vote
PPSN
1994
Springer
15 years 5 months ago
1994
Springer
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
106
click to vote
CDC
2009
IEEE
14 years 11 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
106
click to vote
VTC
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract— An adaptive handover algorithm for wireless comn systems is addressed in this extended abstract. Moving from the Generalized Extended Least Square handover algorithm in...
PE
2000
Springer
15 years 1 months ago
2000
Springer
In this paper we study the convergence properties of the power series algorithm, which is a general method to determine (functions of) stationary distributions of Markov chains. W...