55 search results - page 1 / 11 » Adaptation of Length in a Nonstationary Environment |
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
In this paper, we examine the behavior of a variable length GA in a nonstationary problem environment. Results indicate that a variable length GA is better able to adapt to changes...
PRIMA
2009
Springer
13 years 12 months ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
APIN
2010
13 years 5 months ago
2010
IJAR
2008
13 years 5 months ago
2008
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...