6943 search results - page 207 / 1389 » Representations for evolutionary algorithms |
117
Voted
CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper aims to forecast the economic impacts of changing land-use in UK uplands. We assume that farmers adaptively learn and respond to a dynamic economic environment. The main...
134
Voted
GECCO
2009
Springer
15 years 1 months ago
2009
Springer
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
117
Voted
GECCO
2006
Springer
15 years 7 months ago
2006
Springer
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
189
Voted
AAMAS
2006
Springer
15 years 3 months ago
2006
Springer
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
153
Voted
EUSFLAT
2009
15 years 1 months ago
2009
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...