Example of International Journal of Innovative Computing and Applications format
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Example of International Journal of Innovative Computing and Applications format Example of International Journal of Innovative Computing and Applications format Example of International Journal of Innovative Computing and Applications format Example of International Journal of Innovative Computing and Applications format
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Example of International Journal of Innovative Computing and Applications format Example of International Journal of Innovative Computing and Applications format Example of International Journal of Innovative Computing and Applications format Example of International Journal of Innovative Computing and Applications format
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open access Open Access

International Journal of Innovative Computing and Applications — Template for authors

Categories Rank Trend in last 3 yrs
Software #358 of 389 down down by 36 ranks
Hardware and Architecture #148 of 157 down down by 20 ranks
Theoretical Computer Science #115 of 120 down down by 6 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 92 Published Papers | 56 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 21/07/2020
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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.

0.6

CiteRatio for International Journal of Innovative Computing and Applications from 2016 - 2020
Year Value
2020 0.6
2019 0.6
2018 0.7
2017 0.8
2016 1.1
graph view Graph view
table view Table view

0.147

16% from 2019

SJR for International Journal of Innovative Computing and Applications from 2016 - 2020
Year Value
2020 0.147
2019 0.127
2018 0.213
2017 0.144
2016 0.273
graph view Graph view
table view Table view

0.218

4% from 2019

SNIP for International Journal of Innovative Computing and Applications from 2016 - 2020
Year Value
2020 0.218
2019 0.226
2018 0.231
2017 0.52
2016 0.509
graph view Graph view
table view Table view

insights Insights

  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 16% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 4% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Innovative Computing and Applications

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Inderscience Publishers

International Journal of Innovative Computing and Applications

IJICA proposes and fosters discussion on all new computing paradigms and corresponding applications to solve real-world problems. It will cover all aspects related to evolutionary computation, quantum-inspired computing, swarm-based computing, neuro-computing, DNA computing an...... Read More

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Last updated on
21 Jul 2020
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ISSN
1751-648X
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Impact Factor
Low - 0.458
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Open Access
No
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJICA.2007.013400
A fuzzy adaptive turbulent particle swarm optimisation
Hongbo Liu1, Ajith Abraham2, Weishi Zhang2

Abstract:

Particle Swarm Optimisation (PSO) algorithm is a stochastic search technique, which has exhibited good performance across a wide range of applications. However, very often for multimodal problems involving high dimensions, the algorithm tends to suffer from premature convergence. Analysis of the behaviour of the particle swar... Particle Swarm Optimisation (PSO) algorithm is a stochastic search technique, which has exhibited good performance across a wide range of applications. However, very often for multimodal problems involving high dimensions, the algorithm tends to suffer from premature convergence. Analysis of the behaviour of the particle swarm model reveals that such premature convergence is mainly due to the decrease of velocity of particles in the search space that leads to a total implosion and ultimately fitness stagnation of the swarm. This paper introduces Turbulence in the Particle Swarm Optimisation (TPSO) algorithm to overcome the problem of stagnation. The algorithm uses a minimum velocity threshold to control the velocity of particles. The parameter, minimum velocity threshold of the particles is tuned adaptively by a fuzzy logic controller embedded in the TPSO algorithm, which is further called as Fuzzy Adaptive TPSO (FATPSO). We evaluated the performance of FATPSO and compared it with the Standard PSO (SPSO), Genetic Algorithm (GA) and Simulated Annealing (SA). The comparison was performed on a suite of 10 widely used benchmark problems for 30 and 100 dimensions. Empirical results illustrate that the FATPSO could prevent premature convergence very effectively and it clearly outperforms SPSO and GA. read more read less

Topics:

Particle swarm optimization (64%)64% related to the paper, Premature convergence (57%)57% related to the paper, Swarm behaviour (56%)56% related to the paper, Simulated annealing (52%)52% related to the paper
99 Citations
Journal Article DOI: 10.1504/IJICA.2007.013403
MALLBA: a software library to design efficient optimisation algorithms
Enrique Alba1, Gabriel Luque1, José García-Nieto1, Guillermo Ordoñez2, Guillermo Leguizamón2

Abstract:

In this paper we discuss on the MALLBA framework, a software tool for the resolution of combinatorial optimisation problems using generic algorithmic skeletons implemented in C++. Every skeleton in the MALLBA library implements an optimisation method (exacts, metaheuristics and hybrids) and provides three different implementa... In this paper we discuss on the MALLBA framework, a software tool for the resolution of combinatorial optimisation problems using generic algorithmic skeletons implemented in C++. Every skeleton in the MALLBA library implements an optimisation method (exacts, metaheuristics and hybrids) and provides three different implementations for it: sequential, parallel for Local Area Networks and parallel for Wide Area Networks. This paper introduces some aspects about the software design of the MALLBA library, details of the most recent implemented skeletons and offers computational results for a scheduling problem to illustrate the utilisation of our library. read more read less

Topics:

Algorithmic skeleton (54%)54% related to the paper, Software design (51%)51% related to the paper
84 Citations
Journal Article DOI: 10.1504/IJICA.2011.037947
Analysis of exploration and exploitation in evolutionary algorithms by ancestry trees
Matej Črepinšek1, Marjan Mernik1, Shih-Hsi Liu2

Abstract:

This paper introduces an ancestry tree-based approach for exploration and exploitation analysis. The approach introduces a data structure to record the evolution history of a population and a number of exploration and exploitation metrics. Such an approach not only provides insight of how and when the exploration and exploita... This paper introduces an ancestry tree-based approach for exploration and exploitation analysis. The approach introduces a data structure to record the evolution history of a population and a number of exploration and exploitation metrics. Such an approach not only provides insight of how and when the exploration and exploitation influence an evolution process, but also how the genetic structure of an individual is affected. It can be used to better understand inner working of an evolutionary algorithm or in evolutionary algorithm designing phase to develop suitable variation operators with good balance between exploration and exploitation. The approach is applied to the multi-objective 0/1 knapsack problem. read more read less

Topics:

Evolutionary algorithm (57%)57% related to the paper, Population (52%)52% related to the paper
73 Citations
Journal Article DOI: 10.1504/IJICA.2007.013402
An evolvable hardware system in Xilinx Virtex II Pro FPGA
Zdenek Vasicek1, Lukas Sekanina1

Abstract:

In this paper, a new circuit architecture for image filter evolution is proposed. The evolvable system is based on the implementation of a search algorithm in the PowerPC processor which is available in Xilinx Virtex II Pro Field Programmable Gate Arrays (FPGAs). Candidate filters are evaluated in a domain-specific virtual re... In this paper, a new circuit architecture for image filter evolution is proposed. The evolvable system is based on the implementation of a search algorithm in the PowerPC processor which is available in Xilinx Virtex II Pro Field Programmable Gate Arrays (FPGAs). Candidate filters are evaluated in a domain-specific virtual reconfigurable circuit implemented using a reconfigurable logic of the same FPGA. As the PowerPC processor enables to execute more sophisticated search algorithms than an original solely circuit-based solution by Martinek and Sekanina, a higher performance can be obtained. In the FPGA, a resulting human-competitive filter can be evolved in 15 sec in average. read more read less

Topics:

Virtex (65%)65% related to the paper, Reconfigurable computing (62%)62% related to the paper, Evolvable hardware (61%)61% related to the paper, Field-programmable gate array (59%)59% related to the paper, PowerPC (59%)59% related to the paper
56 Citations
Journal Article DOI: 10.1504/IJICA.2013.053179
A two-tier scheme for greyscale quantum image watermarking and recovery
Abdullah M. Iliyasu1, Phuc Q. Le1, Fei Yan1, Bo Sun1, Jesus A. S. Garcia1, Fangyan Dong1, Kaoru Hirota1

Abstract:

A scheme is proposed to watermark and recover unmarked greyscale images on quantum computers. The hitherto inaccessible data from a quantum image-watermark pair is extracted from their classical conventional or non-quantum versions using which two quantum sub-circuits are used to execute the two-tier transformations comprisin... A scheme is proposed to watermark and recover unmarked greyscale images on quantum computers. The hitherto inaccessible data from a quantum image-watermark pair is extracted from their classical conventional or non-quantum versions using which two quantum sub-circuits are used to execute the two-tier transformations comprising of changes that: 1 embed a visible and translucent watermark logo in a predetermined sub-area of the quantum replica of the cover image; 2 modify the remaining content of the cover image in a manner dictated by the watermark signal, so that the resulting distortions on the watermarked image are not easily discernible. Classical simulations of the image-watermark pairs and the various sub-circuits required to obtain the marked and unmarked images demonstrate the feasibility of the proposed scheme when the necessary quantum hardware are realised. The proposal advances available literature geared towards safeguarding quantum resources from unauthorised reproduction and confirmation of their proprietorship in cases of dispute thereby leading to commercial applications of quantum information. read more read less

Topics:

Quantum information (61%)61% related to the paper, Watermark (59%)59% related to the paper, Quantum computer (59%)59% related to the paper, Digital watermarking (53%)53% related to the paper
40 Citations
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International Journal of Innovative Computing and Applications format uses plainnat citation style.

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Frequently asked questions

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3. Can I cite my article in multiple styles in International Journal of Innovative Computing and Applications?

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 Innovative Computing and Applications citation style.

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Innovative Computing and Applications?

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 Innovative Computing and Applications. 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 Innovative Computing and Applications?

The 5 most common citation types in order of usage for International Journal of Innovative Computing and Applications 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 Innovative Computing and Applications 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 Innovative Computing and Applications Endnote style according to Elsevier guidelines.

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