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[PRE REVIEW]: mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem #317

Closed whedon closed 7 years ago

whedon commented 7 years ago

Submitting author: @jakobbossek (Jakob Bossek) Repository: https://github.com/jakobbossek/mcMST Version: v1.0.0 Editor: @Kevin-Mattheus-Moerman Reviewer: @gvegayon

Author instructions

Thanks for submitting your paper to JOSS @jakobbossek. The JOSS editor (shown at the top of this issue) will work with you on this issue to find a reviewer for your submission before creating the main review issue.

@jakobbossek if you have any suggestions for potential reviewers then please mention them here in this thread. In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission.

Editor instructions

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whedon commented 7 years ago

Hello human, I'm @whedon. I'm here to help you with some common editorial tasks for JOSS.

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arfon commented 7 years ago

:wave: thanks for your submission to JOSS. From a quick inspection of this submission it's not entirely obvious that it meets our submission criteria. In particular, this item:

  • Your software should have an obvious research application

Could you confirm here that there is a research application for this software (and explain what that application is)? The section 'what should my paper contain' has some guidance for the sort of content we're looking to be present in the paper.md.

Many thanks!

jakobbossek commented 7 years ago

@arfon Thanks for having a first look at my submission!

Could you confirm here that there is a research application for this software (and explain what that
application is)? The section 'what should my paper contain' has some guidance for the sort of content we're looking to be present in the paper.md.

The software is beneficial for researchers who work in the field of evolutionary multi-objecitve optimization of combinatorial (graph) problems and the multi-criteria spanning tree problem (mcMST) in particular. An example: Most recently we used the software to develop a new mutation operator for an evolutionary multi-objective algorithm for the mcMST based on insights gained from the empirical analysis of Pareto-optimal solutions of mcMST problems. This work was submitted to the multi-criteria decision making track of the IEEE SSCI2017 and is currently under review.

arfon commented 7 years ago

OK thanks @jakobbossek.

An example: Most recently we used the software to develop a new mutation operator for an evolutionary multi-objective algorithm for the mcMST based on insights gained from the empirical analysis of Pareto-optimal solutions of mcMST problems. This work was submitted to the multi-criteria decision making track of the IEEE SSCI2017 and is currently under review.

If you haven't already, it might be worth adding something about this to the paper.md.

We just need to find an editor and reviewer for this submission now before we can proceed with the main review.

Kevin-Mattheus-Moerman commented 7 years ago

@ArdiaD @lmarti @berndbischl @jakob-r @aklxao2 @luca-scr @gvegayon would you be interested in reviewing this submission for JOSS? If you choose to accept this invitation we'll open a review issue where the actual review will take place. Review is often fast and focuses on the software, its claims, and the documentation. Thanks! :rocket:

gvegayon commented 7 years ago

Hi Kevin,

I'm in. Thanks for inviting me.

Best,

George G. Vega Yon (from mobile) +1 626 381 8171 http://cana.usc.edu/vegayon

On Aug 21, 2017 07:46, "Kevin Mattheus Moerman" notifications@github.com wrote:

@ArdiaD https://github.com/ardiad @lmarti https://github.com/lmarti @berndbischl https://github.com/berndbischl @jakob-r https://github.com/jakob-r @aklxao2 https://github.com/aklxao2 @luca-scr https://github.com/luca-scr @gvegayon https://github.com/gvegayon would you be interested in reviewing this submission for JOSS http://joss.theoj.org/? If you choose to accept this invitation we'll open a review issue where the actual review will take place. Review http://joss.theoj.org/about#reviewer_guidelines is often fast and focuses on the software, its claims, and the documentation. Thanks! 🚀

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/317#issuecomment-323762213, or mute the thread https://github.com/notifications/unsubscribe-auth/AA2is68Z4xD0BKDzLrgy9aqRyh6udUcPks5saZgygaJpZM4OU7lH .

Kevin-Mattheus-Moerman commented 7 years ago

@whedon assign @Kevin-Mattheus-Moerman as editor

whedon commented 7 years ago

OK, the editor is @Kevin-Mattheus-Moerman

Kevin-Mattheus-Moerman commented 7 years ago

@whedon assign @gvegayon as reviewer

whedon commented 7 years ago

OK, the reviewer is @gvegayon

Kevin-Mattheus-Moerman commented 7 years ago

@whedon start review magic-word=bananas

whedon commented 7 years ago

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/374. Feel free to close this issue now!