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From: "Thomas Neidhart (JIRA)" <jira@apache.org>
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Subject: [jira] [Commented] (MATH-1074) Refactor fixed size chromosomes
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    [ https://issues.apache.org/jira/browse/MATH-1074?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13843286#comment-13843286 ] 

Thomas Neidhart commented on MATH-1074:
---------------------------------------

It depends.

The Chromosome class could be similar to a CharSequence, which provides methods like length() and substring() to get parts of the sequence. The actual underlying data would be completely abstracted, thus avoiding to create a List<Double> which is quite inefficient, especially for large populations.

I have not made up my mind, I was just working on some examples last weekend (will add another one hopefully tonight), and found the current API very cumbersome to use. Will need to experiment with more use-cases to see what is really useful.

> Refactor fixed size chromosomes
> -------------------------------
>
>                 Key: MATH-1074
>                 URL: https://issues.apache.org/jira/browse/MATH-1074
>             Project: Commons Math
>          Issue Type: Improvement
>    Affects Versions: 3.2
>            Reporter: Thomas Neidhart
>
> Currently, only chromosomes derived from AbstractListChromosome can be used for most of the crossover policies. This is quite inconvenient to use, especially when working with primitive types.
> Need to think about ways to refactor this for better support of other datatypes, e.g. CharSequence or primitive arrays.



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