Example of International Journal of Intelligent Computing and Cybernetics format
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Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format
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Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format Example of International Journal of Intelligent Computing and Cybernetics format
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open access Open Access

International Journal of Intelligent Computing and Cybernetics — Template for authors

Publisher: Emerald Publishing
Categories Rank Trend in last 3 yrs
Computer Science (all) #99 of 226 down down by 3 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 110 Published Papers | 238 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 11/07/2020
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Insights
General info
Top papers
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Why choose from SciSpace
FAQ

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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

2.2

47% from 2019

CiteRatio for International Journal of Intelligent Computing and Cybernetics from 2016 - 2020
Year Value
2020 2.2
2019 1.5
2018 1.2
2017 1.4
2016 1.5
graph view Graph view
table view Table view

0.222

8% from 2019

SJR for International Journal of Intelligent Computing and Cybernetics from 2016 - 2020
Year Value
2020 0.222
2019 0.24
2018 0.179
2017 0.214
2016 0.277
graph view Graph view
table view Table view

0.652

45% from 2019

SNIP for International Journal of Intelligent Computing and Cybernetics from 2016 - 2020
Year Value
2020 0.652
2019 0.45
2018 0.534
2017 0.361
2016 0.526
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 47% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 8% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 45% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Intelligent Computing and Cybernetics

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Emerald Publishing

International Journal of Intelligent Computing and Cybernetics

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Intelligent Computing and Cybernetics formatting guidelines as mentioned in Emerald Publishing author instructions. The current version was created on 11 Jul 2020 and has been used by 336 authors to write and format their manuscripts to this journal.

Computer Science

i
Last updated on
11 Jul 2020
i
ISSN
1756-378X
i
Impact Factor
High - 1.117
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
Emerald Bib Citation
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Citation Type
Author Year
(Blonder et al., 1982)
i
Bibliography Example
Blonder, G.E., Tinkham, M. and Klapwijk, T.M. (1982), “Transition from metallic totunneling regimes in superconducting microconstrictions: Excess current, charge im-balance, and supercurrent conversion”, Phys. Rev. B, Vol. 25 No. 7, pp. 4515–4532, URL 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.1108/IJICC-02-2014-0005
Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning
Haibin Duan1, Peixin Qiao

Abstract:

Purpose – The purpose of this paper is to present a novel swarm intelligence optimizer — pigeon-inspired optimization (PIO) — and describe how this algorithm was applied to solve air robot path planning problems. Design/methodology/approach – The formulation of threat resources and objective function in air robot path plannin... Purpose – The purpose of this paper is to present a novel swarm intelligence optimizer — pigeon-inspired optimization (PIO) — and describe how this algorithm was applied to solve air robot path planning problems. Design/methodology/approach – The formulation of threat resources and objective function in air robot path planning is given. The mathematical model and detailed implementation process of PIO is presented. Comparative experiments with standard differential evolution (DE) algorithm are also conducted. Findings – The feasibility, effectiveness and robustness of the proposed PIO algorithm are shown by a series of comparative experiments with standard DE algorithm. The computational results also show that the proposed PIO algorithm can effectively improve the convergence speed, and the superiority of global search is also verified in various cases. Originality/value – In this paper, the authors first presented a PIO algorithm. In this newly presented algorithm, map and compass operator model is prese... read more read less

Topics:

Swarm intelligence (54%)54% related to the paper, Differential evolution (50%)50% related to the paper, Evolutionary computation (50%)50% related to the paper
View PDF
431 Citations
Journal Article DOI: 10.1108/17563780810893446
Colonial competitive algorithm A novel approach for PID controller design in MIMO distillation column process
Esmaeil Atashpaz Gargari1, Farzad Hashemzadeh, Ramin Rajabioun, Caro Lucas

Abstract:

Purpose – This paper aims to describe colonial competitive algorithm (CCA), a novel socio‐politically inspired optimization strategy, and how it is used to solve real world engineering problems by applying it to the problem of designing a multivariable proportional‐integral‐derivative (PID) controller Unlike other evolutionar... Purpose – This paper aims to describe colonial competitive algorithm (CCA), a novel socio‐politically inspired optimization strategy, and how it is used to solve real world engineering problems by applying it to the problem of designing a multivariable proportional‐integral‐derivative (PID) controller Unlike other evolutionary optimization algorithms, CCA is inspired from a socio‐political process – the competition among imperialists and colonies In this paper, CCA is used to tune the parameters of a multivariable PID controller for a typical distillation column processDesign/methodology/approach – The controller design objective was to tune the PID controller parameters so that the integral of absolute errors, overshoots and undershoots be minimized This multi‐objective optimization problem is converted to a mono‐objective one by adding up all the objective functions in which the absolute integral of errors is emphasized to be reduced as long as the overshoots and undershoots remain acceptableFindin read more read less

Topics:

PID controller (60%)60% related to the paper, Control theory (55%)55% related to the paper, Optimization problem (52%)52% related to the paper
View PDF
272 Citations
Journal Article DOI: 10.1108/17563780810874717
Intelligent water drops algorithm: A new optimization method for solving the multiple knapsack problem
Hamed Shah-Hosseini1

Abstract:

Purpose – The purpose of this paper is to test the capability of a new population‐based optimization algorithm for solving an NP‐hard problem, called “Multiple Knapsack Problem”, or MKP.Design/methodology/approach – Here, the intelligent water drops (IWD) algorithm, which is a population‐based optimization algorithm, is modif... Purpose – The purpose of this paper is to test the capability of a new population‐based optimization algorithm for solving an NP‐hard problem, called “Multiple Knapsack Problem”, or MKP.Design/methodology/approach – Here, the intelligent water drops (IWD) algorithm, which is a population‐based optimization algorithm, is modified to include a suitable local heuristic for the MKP. Then, the proposed algorithm is used to solve the MKP.Findings – The proposed IWD algorithm for the MKP is tested by standard problems and the results demonstrate that the proposed IWD‐MKP algorithm is trustable and promising in finding the optimal or near‐optimal solutions. It is proved that the IWD algorithm has the property of the convergence in value.Originality/value – This paper introduces the new optimization algorithm, IWD, to be used for the first time for the MKP and shows that the IWD is applicable for this NP‐hard problem. This research paves the way to modify the IWD for other optimization problems. Moreover, it opens... read more read less

Topics:

Knapsack problem (58%)58% related to the paper, Optimization problem (56%)56% related to the paper, Heuristic (computer science) (55%)55% related to the paper, Population (52%)52% related to the paper
168 Citations
Journal Article DOI: 10.1108/17563781011049179
Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton
Ole-Christoffer Granmo1

Abstract:

Purpose – The two‐armed Bernoulli bandit (TABB) problem is a classical optimization problem where an agent sequentially pulls one of two arms attached to a gambling machine, with each pull resulting either in a reward or a penalty. The reward probabilities of each arm are unknown, and thus one must balance between exploiting ... Purpose – The two‐armed Bernoulli bandit (TABB) problem is a classical optimization problem where an agent sequentially pulls one of two arms attached to a gambling machine, with each pull resulting either in a reward or a penalty. The reward probabilities of each arm are unknown, and thus one must balance between exploiting existing knowledge about the arms, and obtaining new information. The purpose of this paper is to report research into a completely new family of solution schemes for the TABB problem: the Bayesian learning automaton (BLA) family.Design/methodology/approach – Although computationally intractable in many cases, Bayesian methods provide a standard for optimal decision making. BLA avoids the problem of computational intractability by not explicitly performing the Bayesian computations. Rather, it is based upon merely counting rewards/penalties, combined with random sampling from a pair of twin Beta distributions. This is intuitively appealing since the Bayesian conjugate prior for a bino... read more read less

Topics:

Bayesian statistics (59%)59% related to the paper, Conjugate prior (55%)55% related to the paper, Bayesian inference (54%)54% related to the paper, Bayesian probability (53%)53% related to the paper, Optimization problem (52%)52% related to the paper
126 Citations
Journal Article DOI: 10.1108/IJICC-10-2020-0142
Design and implementation of construction cost prediction model based on SVM and LSSVM in industries 4.0

Abstract:

In order to improve the accuracy of project cost prediction, considering the limitations of existing models, the construction cost prediction model based on SVM (Standard Support Vector Machine) and LSSVM (Least Squares Support Vector Machine) is put forward.,In the competitive growth and industries 4.0, the prediction in the... In order to improve the accuracy of project cost prediction, considering the limitations of existing models, the construction cost prediction model based on SVM (Standard Support Vector Machine) and LSSVM (Least Squares Support Vector Machine) is put forward.,In the competitive growth and industries 4.0, the prediction in the cost plays a key role.,At the same time, the original data is dimensionality reduced. The processed data are imported into the SVM and LSSVM models for training and prediction respectively, and the prediction results are compared and analyzed and a more reasonable prediction model is selected.,The prediction result is further optimized by parameter optimization. The relative error of the prediction model is within 7%, and the prediction accuracy is high and the result is stable. read more read less

Topics:

Least squares support vector machine (56%)56% related to the paper, Support vector machine (52%)52% related to the paper
123 Citations
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International Journal of Intelligent Computing and Cybernetics format uses Emerald Bib Citation citation style.

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Frequently asked questions

1. Can I write International Journal of Intelligent Computing and Cybernetics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the International Journal of Intelligent Computing and Cybernetics guidelines and auto format it.

2. Do you follow the International Journal of Intelligent Computing and Cybernetics guidelines?

Yes, the template is compliant with the International Journal of Intelligent Computing and Cybernetics 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 International Journal of Intelligent Computing and Cybernetics?

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 International Journal of Intelligent Computing and Cybernetics citation style.

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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 International Journal of Intelligent Computing and Cybernetics that you can download at the end.

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12. Is International Journal of Intelligent Computing and Cybernetics'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 International Journal of Intelligent Computing and Cybernetics?

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 International Journal of Intelligent Computing and Cybernetics. 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 International Journal of Intelligent Computing and Cybernetics?

The 5 most common citation types in order of usage for International Journal of Intelligent Computing and Cybernetics are:.

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

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16. Can I download International Journal of Intelligent Computing and Cybernetics 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 International Journal of Intelligent Computing and Cybernetics Endnote style according to Elsevier guidelines.

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