Wikipedia:Articles for deletion/State transition algorithm

State transition algorithm

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Based on work by single group of authors (WP:GNG). —Ruud 14:05, 15 July 2016 (UTC)[reply]

We have added the secondary or tertiary sources to this article. — Preceding unsigned comment added by Michael X Zhou (talk • contribs) 00:34, 16 July 2016 (UTC) This template must be substituted.[reply]
- I presume you are referring to this edit, in which case, no you didn't. You are a coauthor on most of those sources, though you conveniently omitted your name from the bibliographic details here. Some of the remaining articles which don't bear your name appear in journals of dubious quality (TELKOMNIKA is pay-to-publish, and Inderscience journals are discommended by Beall). —Psychonaut (talk) 20:10, 19 July 2016 (UTC)[reply]

This article is interesting for people in this filed to understand state transition algorithm(STA). It describes STA in a more clear way. — Preceding unsigned comment added by 58.20.106.16 (talk) 07:08, 16 July 2016 (UTC) This template must be substituted.[reply]

Through this article, we have a better understanding of state transition algorithm. — Preceding unsigned comment added by 133.130.110.183 (talk) 07:28, 18 July 2016 (UTC) This template must be substituted.[reply]

To find the global optimal solution is an intractable problem nowadays, the STA method makes a contribution to this unsolved problem in global optimization. — Preceding unsigned comment added by J.R.XIE (talk • contribs) 11:40, 18 July 2016 (UTC) This template must be substituted.[reply]

The same as the classic approaches like EA and PSO, STA is also an stochastic algorithm for solving global optimization problem. However, STA has a much clearer mathematic explanation for the included operators if compared with EA and PSO. In this article, the operators in STA seem to be designed for dealing with challenges in global optimization such as the cheating of a local optimal and the slow convolution speed. The result in the references indicate that the four operators yield a pleased performance. — Preceding unsigned comment added by 203.10.91.81 (talk) 03:38, 19 July 2016 (UTC) This template must be substituted.[reply]

This article gives a clear description and better understanding of the state transition algorithm and is very helpful for researchers in the field of global optimization.--Kevincsman (talk) 17:30, 19 July 2016 (UTC)[reply]

Delete. The sources in the article are primary or else are of questionable scholarly merit. See my comment above in response to User:Michael X Zhou. —Psychonaut (talk) 20:10, 19 July 2016 (UTC)[reply]
- It is difficult to understand what the sources in the article are primary or else are of questionable scholarly merit means? — Preceding unsigned comment added by 218.76.28.42 (talk) 12:25, 20 July 2016 (UTC)[reply]
  - All this is explained at Wikipedia:Reliable sources. —Psychonaut (talk) 14:18, 20 July 2016 (UTC)[reply]
- Psychonaut should give more suggestions to improve the article but not suggest to delete it. — Preceding unsigned comment added by 218.76.28.42 (talk) 12:29, 20 July 2016 (UTC) — 218.76.28.42 (talk • contribs) has made few or no other edits outside this topic. [reply]
  - The article could be improved by the addition of multiple sources which are independent of the algorithm's authors, which are published in venues with a reputation for adequate peer review, and which discuss the algorithm in depth as opposed to citing it in passing. —Psychonaut (talk) 14:18, 20 July 2016 (UTC)[reply]
Delete. Obvious socking aside, this is pretty much identical to that string of circularly-cited "nature-inspired algorithms" articles. Every source is by the same authors with the order of the names changed, and the article is maintained by a user with a clear COI. There's no reason to believe this algorithm describes anything more than a random-walk iterative optimization, because it makes up its own language and isn't corroborated by any outside source. Jergling (talk) 14:36, 20 July 2016 (UTC)[reply]