Cluster Genetic Programming / Algorithms

Question

Recently, I am trying to understand whether hasoop clusters can be used for genetic algorithms / programming tasks. I read about hadoop, and I understand that it can paralyze the processing of large data sets. in my case, I would not have large datasets .. but what I find very useful is the hadoop concurrency capabilities. So my question is, is it possible to use a program like hadoop to evaluate or process genetic algorithms / programming, which I think will be more processing-oriented, as opposed to input / output-oriented?

Answer 1

As you know, the maximum of Bio-informatics algo is based on combination, cutting, splicing, editing distance, neural network, etc., as well as backtracking, for example dfs (for partial digest). If you make them common, as with reducing the map, the task is for a specific instance or length ex:

For length 1 ..... map-reduce job 1 For length 2 ..... map-reduce job 2 . . . For length n ..... map-reduce job n 

Or, if you want to compare Bio-info algo with hadoop architecture, you can find a simple algorithm in this link -> http://matrixsust.blogspot.com/2011/01/introduction-to-bioinformatics.html

Hope this helps.