Example of IEEE Computational Intelligence Magazine format
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Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format
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Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format Example of IEEE Computational Intelligence Magazine format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

IEEE Computational Intelligence Magazine — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Artificial Intelligence #8 of 227 up up by 2 ranks
Theoretical Computer Science #5 of 120 -
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 103 Published Papers | 1700 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 12/06/2020
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Insights
General info
Top papers
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FAQ

Related Journals

open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 7.3
SJR: 0.73
SNIP: 1.279
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 7.1
SJR: 1.039
SNIP: 1.83
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 12.1
SJR: 1.524
SNIP: 2.585
open access Open Access

Elsevier

Quality:  
High
CiteRatio: 6.9
SJR: 0.638
SNIP: 1.44

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

9.083

55% from 2018

Impact factor for IEEE Computational Intelligence Magazine from 2016 - 2019
Year Value
2019 9.083
2018 5.857
2017 6.611
2016 6.343
graph view Graph view
table view Table view

16.5

43% from 2019

CiteRatio for IEEE Computational Intelligence Magazine from 2016 - 2020
Year Value
2020 16.5
2019 11.5
2018 9.9
2017 10.5
2016 8.1
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 55% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 43% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.834

9% from 2019

SJR for IEEE Computational Intelligence Magazine from 2016 - 2020
Year Value
2020 1.834
2019 1.679
2018 1.132
2017 1.296
2016 1.172
graph view Graph view
table view Table view

5.821

28% from 2019

SNIP for IEEE Computational Intelligence Magazine from 2016 - 2020
Year Value
2020 5.821
2019 4.536
2018 3.311
2017 3.776
2016 3.206
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 9% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 28% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
IEEE Computational Intelligence Magazine

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IEEE

IEEE Computational Intelligence Magazine

IEEE Computational Intelligence Magazine covers all areas of computational intelligence design and applications: applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied resea...... Read More

Theoretical Computer Science

Artificial Intelligence

Mathematics

i
Last updated on
12 Jun 2020
i
ISSN
1556-603X
i
Impact Factor
Very High - 3.092
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
IEEEtran
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1109/CI-M.2006.248054
Ant colony optimization: artificial ants as a computational intelligence technique
Marco Dorigo, Mauro Birattari, Thomas Stützle

Abstract:

The introduction of ant colony optimization (ACO) and to survey its most notable applications are discussed. Ant colony optimization takes inspiration from the forging behavior of some ant species. These ants deposit Pheromone on the ground in order to mark some favorable path that should be followed by other members of the c... The introduction of ant colony optimization (ACO) and to survey its most notable applications are discussed. Ant colony optimization takes inspiration from the forging behavior of some ant species. These ants deposit Pheromone on the ground in order to mark some favorable path that should be followed by other members of the colony. The model proposed by Deneubourg and co-workers for explaining the foraging behavior of ants is the main source of inspiration for the development of ant colony optimization. In ACO a number of artificial ants build solutions to an optimization problem and exchange information on their quality through a communication scheme that is reminiscent of the one adopted by real ants. ACO algorithms is introduced and all ACO algorithms share the same idea and the ACO is formalized into a meta-heuristics for combinatorial problems. It is foreseeable that future research on ACO will focus more strongly on rich optimization problems that include stochasticity. read more read less

Topics:

Ant colony optimization algorithms (64%)64% related to the paper, Metaheuristic (61%)61% related to the paper, Swarm intelligence (57%)57% related to the paper, Optimization problem (52%)52% related to the paper
View PDF
2,270 Citations
Journal Article DOI: 10.1109/MCI.2006.1597059
Evolutionary multi-objective optimization: a historical view of the field
Carlos A. Coello Coello1

Abstract:

This article provides a general overview of the field now known as "evolutionary multi-objective optimization," which refers to the use of evolutionary algorithms to solve problems with two or more (often conflicting) objective functions. Using as a framework the history of this discipline, we discuss some of the most represe... This article provides a general overview of the field now known as "evolutionary multi-objective optimization," which refers to the use of evolutionary algorithms to solve problems with two or more (often conflicting) objective functions. Using as a framework the history of this discipline, we discuss some of the most representative algorithms that have been developed so far, as well as some of their applications. Also, we discuss some of the methodological issues related to the use of multi-objective evolutionary algorithms, as well as some of the current and future research trends in the area. read more read less

Topics:

Evolutionary programming (61%)61% related to the paper, Evolutionary computation (61%)61% related to the paper, Human-based evolutionary computation (58%)58% related to the paper, Evolutionary algorithm (58%)58% related to the paper, Evolutionary robotics (58%)58% related to the paper
1,213 Citations
Journal Article DOI: 10.1109/MCI.2010.938364
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
Itamar Arel1, Derek C. Rose1, Thomas P. Karnowski1

Abstract:

This article provides an overview of the mainstream deep learning approaches and research directions proposed over the past decade. It is important to emphasize that each approach has strengths and "weaknesses, depending on the application and context in "which it is being used. Thus, this article presents a summary on the cu... This article provides an overview of the mainstream deep learning approaches and research directions proposed over the past decade. It is important to emphasize that each approach has strengths and "weaknesses, depending on the application and context in "which it is being used. Thus, this article presents a summary on the current state of the deep machine learning field and some perspective into how it may evolve. Convolutional Neural Networks (CNNs) and Deep Belief Networks (DBNs) (and their respective variations) are focused on primarily because they are well established in the deep learning field and show great promise for future work. read more read less

Topics:

Deep belief network (61%)61% related to the paper, Deep learning (59%)59% related to the paper, Artificial neural network (53%)53% related to the paper
1,103 Citations
Journal Article DOI: 10.1109/MCI.2017.2742868
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
Ye Tian1, Ran Cheng2, Xingyi Zhang1, Yaochu Jin3

Abstract:

Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and comprehensive software platform for researchers to properly benchmark existing algorithms and for practitioners to apply selected algorithms to sol... Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and comprehensive software platform for researchers to properly benchmark existing algorithms and for practitioners to apply selected algorithms to solve their real-world problems. The demand of such a common tool becomes even more urgent, when the source code of many proposed algorithms has not been made publicly available. To address these issues, we have developed a MATLAB platform for evolutionary multi-objective optimization in this paper, called PlatEMO, which includes more than 50 multiobjective evolutionary algorithms and more than 100 multi-objective test problems, along with several widely used performance indicators. With a user-friendly graphical user interface, PlatEMO enables users to easily compare several evolutionary algorithms at one time and collect statistical results in Excel or LaTeX files. More importantly, PlatEMO is completely open source, such that users are able to develop new algorithms on the basis of it. This paper introduces the main features of PlatEMO and illustrates how to use it for performing comparative experiments, embedding new algorithms, creating new test problems, and developing performance indicators. Source code of PlatEMO is now available at: http://bimk.ahu.edu.cn/index.php?s=/Index/Software/index.html. read more read less

Topics:

Evolutionary computation (63%)63% related to the paper, Multi-objective optimization (58%)58% related to the paper, Evolutionary algorithm (58%)58% related to the paper, Quality control and genetic algorithms (58%)58% related to the paper, Source code (55%)55% related to the paper
915 Citations
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SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

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With SciSpace, you do not need a word template for IEEE Computational Intelligence Magazine.

It automatically formats your research paper to IEEE formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

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IEEE Computational Intelligence Magazine format uses IEEEtran citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write IEEE Computational Intelligence Magazine in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Computational Intelligence Magazine guidelines and auto format it.

2. Do you follow the IEEE Computational Intelligence Magazine guidelines?

Yes, the template is compliant with the IEEE Computational Intelligence Magazine guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Computational Intelligence Magazine?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Computational Intelligence Magazine citation style.

4. Can I use the IEEE Computational Intelligence Magazine templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Computational Intelligence Magazine.

5. Can I use a manuscript in IEEE Computational Intelligence Magazine that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Computational Intelligence Magazine that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Computational Intelligence Magazine?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Computational Intelligence Magazine.

7. Where can I find the template for the IEEE Computational Intelligence Magazine?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Computational Intelligence Magazine's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Computational Intelligence Magazine's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Computational Intelligence Magazine an online tool or is there a desktop version?

SciSpace's IEEE Computational Intelligence Magazine is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Computational Intelligence Magazine?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Computational Intelligence Magazine?”

11. What is the output that I would get after using IEEE Computational Intelligence Magazine?

After writing your paper autoformatting in IEEE Computational Intelligence Magazine, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Computational Intelligence Magazine's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Computational Intelligence Magazine?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Computational Intelligence Magazine. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Computational Intelligence Magazine?

The 5 most common citation types in order of usage for IEEE Computational Intelligence Magazine are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the IEEE Computational Intelligence Magazine?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Computational Intelligence Magazine's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Computational Intelligence Magazine in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Computational Intelligence Magazine Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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