Sciweavers

Share
EC
2008

A Graphical Model for Evolutionary Optimization

8 years 4 months ago
A Graphical Model for Evolutionary Optimization
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems dictate that no optimization algorithm can be considered more efficient than any other when considering all possible functions, the desired function class plays a prominent role in the model. In particular, this provides a direct way to answer the traditionally difficult question of what algorithm is best matched to a particular class of functions. Among the benefits of the model are the ability to specify the function class in a straightforward manner, a natural way to specify noisy or dynamic functions, and a new source of insight into No Free Lunch theorems for optimization. Keywords Genetic algorithms, Mathematical optimization models, Evolutionary optimization.
Christopher K. Monson, Kevin D. Seppi
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2008
Where EC
Authors Christopher K. Monson, Kevin D. Seppi
Comments (0)
books