Does gamultiobj produce identically independently distributed? data?

3 ビュー (過去 30 日間)
Maximilian Ernst
Maximilian Ernst 2016 年 9 月 26 日
コメント済み: Alan Weiss 2016 年 9 月 26 日
Hi
I store after each iteration of the algorithm gamultiobj the current optimal values of the objective functions in an array. When the optimization is complete, will the data in this array be in general identically independently distributed (iid)?
Thank you very much for your help. Thank you for your help

回答 (1 件)

Walter Roberson
Walter Roberson 2016 年 9 月 26 日
No. The members of the population that survive are going to be the ones that are more "fit", which is likely to cover only a subset of the available parameter space, so the survivors are going to be biased rather than statistically independent. Mutations and cross-overs create related members, not independent members.
  1 件のコメント
Alan Weiss
Alan Weiss 2016 年 9 月 26 日
Additionally, gamultiobj attempts to spread the final points approximately uniformly in function space. So the final Pareto points are far from randomly distributed.
Alan Weiss
MATLAB mathematical toolbox documentation

サインインしてコメントする。

カテゴリ

Help Center および File ExchangeSurrogate Optimization についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by