Summary

Evolutionary algorithms provide robust, relatively easy-to-use methods for a wide range of parameter estimation problems. Recent developments have led to more reliable and/or faster algorithms, and these methods may be considered along with the early generation evolutionary algorithms currently used in ecological modeling.

Evolutionary algorithms provide one of the few available methods to automatically generate models - rather than parameters - from data, their main competition being artificial neural networks (see Artificial Neural Networks) and relational learning systems. Their inherent white-box nature and robustness provide important advantages in automatic model generation, though much still remains to be done in these areas. They may be particularly appropriate where the underlying mechanisms of the process being modeled are evolution-like. In these cases, the application of coevolutionary techniques in ecological modeling merges seamlessly with the wider field of evolutionary simulation.

See also: Artificial Neural Networks; Ecological Models, Optimization; Spatial Models and Geographic Information Systems.

Was this article helpful?

0 0
10 Ways To Fight Off Cancer

10 Ways To Fight Off Cancer

Learning About 10 Ways Fight Off Cancer Can Have Amazing Benefits For Your Life The Best Tips On How To Keep This Killer At Bay Discovering that you or a loved one has cancer can be utterly terrifying. All the same, once you comprehend the causes of cancer and learn how to reverse those causes, you or your loved one may have more than a fighting chance of beating out cancer.

Get My Free Ebook


Post a comment