Example of International Journal of Bio-Inspired Computation format
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Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format
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Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format Example of International Journal of Bio-Inspired Computation format
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open access Open Access

International Journal of Bio-Inspired Computation — Template for authors

Categories Rank Trend in last 3 yrs
Computer Science (all) #49 of 226 down down by 22 ranks
Theoretical Computer Science #29 of 120 down down by 9 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 180 Published Papers | 781 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 17/07/2020
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Related Journals

open access Open Access

Springer

Quality:  
High
CiteRatio: 3.8
SJR: 0.406
SNIP: 1.027
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recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 8.2
SJR: 0.704
SNIP: 1.758
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 14.6
SJR: 1.646
SNIP: 5.672
open access Open Access

Elsevier

Quality:  
High
CiteRatio: 4.0
SJR: 0.541
SNIP: 1.433

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.

1.914

44% from 2018

Impact factor for International Journal of Bio-Inspired Computation from 2016 - 2019
Year Value
2019 1.914
2018 3.395
2017 2.266
2016 1.935
graph view Graph view
table view Table view

4.3

34% from 2019

CiteRatio for International Journal of Bio-Inspired Computation from 2016 - 2020
Year Value
2020 4.3
2019 6.5
2018 5.6
2017 4.3
2016 5.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 44% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 34% 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.

0.411

16% from 2019

SJR for International Journal of Bio-Inspired Computation from 2016 - 2020
Year Value
2020 0.411
2019 0.489
2018 1.03
2017 0.721
2016 0.534
graph view Graph view
table view Table view

0.961

18% from 2019

SNIP for International Journal of Bio-Inspired Computation from 2016 - 2020
Year Value
2020 0.961
2019 1.171
2018 1.629
2017 1.779
2016 1.495
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased 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 18% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Bio-Inspired Computation

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Inderscience Publishers

International Journal of Bio-Inspired Computation

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Bio-Inspired Computation formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 17 Jul 2020 and has been used by 396 authors to write and format their manuscripts to this journal.

i
Last updated on
17 Jul 2020
i
ISSN
1758-0366
i
Impact Factor
High - 2.436
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
plainnat
i
Citation Type
Author Year
(Blonder et al., 1982)
i
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

open accessOpen access Journal Article DOI: 10.1504/IJBIC.2010.032124
Firefly algorithm, stochastic test functions and design optimisation
Xin-She Yang1

Abstract:

Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimisation problems. In this paper, we show how to use the recently developed firefly algorithm to solve non-linear design problems. For the standard pressure vessel design optimisation, the optimal solution found by FA is... Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimisation problems. In this paper, we show how to use the recently developed firefly algorithm to solve non-linear design problems. For the standard pressure vessel design optimisation, the optimal solution found by FA is far better than the best solution obtained previously in the literature. In addition, we also propose a few new test functions with either singularity or stochastic components but with known global optimality and thus they can be used to validate new optimisation algorithms. Possible topics for further research are also discussed. read more read less

Topics:

Firefly algorithm (66%)66% related to the paper, Metaheuristic (57%)57% related to the paper
1,911 Citations
open accessOpen access Journal Article DOI: 10.1504/IJBIC.2013.055093
Bat algorithm: literature review and applications
Xin-She Yang1, Xingshi He2

Abstract:

Bat algorithm BA is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last three years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case... Bat algorithm BA is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last three years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarised briefly here. In addition, we also discuss the essence of an algorithm and the links between algorithms and self-organisation. Further research topics are also discussed. read more read less

Topics:

Bat algorithm (64%)64% related to the paper
View PDF
791 Citations
open accessOpen access Journal Article DOI: 10.1504/IJBIC.2011.042259
Bat algorithm for multi-objective optimisation
Xin-She Yang1

Abstract:

Engineering optimisation is typically multi-objective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimisation algorithms. Recently, Xin-She Yang proposed a bat-inspired algorithm for solving non-linear, global optimisation problems. In this paper, we extend thi... Engineering optimisation is typically multi-objective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimisation algorithms. Recently, Xin-She Yang proposed a bat-inspired algorithm for solving non-linear, global optimisation problems. In this paper, we extend this algorithm to solve multi-objective optimisation problems. The proposed multi-objective bat algorithm (MOBA) is first validated against a subset of test functions, and then applied to solve multi-objective design problems such as welded beam design. Simulation results suggest that the proposed algorithm works efficiently. read more read less

Topics:

Bat algorithm (63%)63% related to the paper, Algorithm design (61%)61% related to the paper, Firefly algorithm (53%)53% related to the paper
767 Citations
Journal Article DOI: 10.1504/IJBIC.2009.022775
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
Hamed Shah-Hosseini1

Abstract:

A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water drops with the riverbeds. The intelligent water drops (IWD) algorithm is a new swarm-based... A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water drops with the riverbeds. The intelligent water drops (IWD) algorithm is a new swarm-based optimisation algorithm inspired from observing natural water drops that flow in rivers. In this paper, the IWD algorithm is tested to find solutions of the n-queen puzzle with a simple local heuristic. The travelling salesman problem (TSP) is also solved with a modified IWD algorithm. Moreover, the IWD algorithm is tested with some more multiple knapsack problems (MKP) in which near-optimal or optimal solutions are obtained. read more read less

Topics:

Travelling salesman problem (52%)52% related to the paper, Knapsack problem (51%)51% related to the paper, Heuristic (computer science) (51%)51% related to the paper
433 Citations
Journal Article DOI: 10.1504/IJBIC.2011.038700
New inspirations in swarm intelligence: a survey

Abstract:

The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Evolutionary computation and swarm intelligence meta-heuristics are outstanding examples that nature has been an unending source of inspiration. The behaviour of bees, bacteria, glow-worms, fireflie... The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Evolutionary computation and swarm intelligence meta-heuristics are outstanding examples that nature has been an unending source of inspiration. The behaviour of bees, bacteria, glow-worms, fireflies, slime moulds, cockroaches, mosquitoes and other organisms have inspired swarm intelligence researchers to devise new optimisation algorithms. This tutorial highlights the most recent nature-based inspirations as metaphors for swarm intelligence meta-heuristics. We describe the biological behaviours from which a number of computational algorithms were developed. Also, the most recent and important applications and the main features of such meta-heuristics are reported. read more read less

Topics:

Swarm robotics (69%)69% related to the paper, Swarm intelligence (65%)65% related to the paper, Evolutionary computation (56%)56% related to the paper
368 Citations
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International Journal of Bio-Inspired Computation format uses plainnat citation style.

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Frequently asked questions

1. Can I write International Journal of Bio-Inspired Computation in LaTeX?

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3. Can I cite my article in multiple styles in International Journal of Bio-Inspired Computation?

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 Bio-Inspired Computation 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 Bio-Inspired Computation that you can download at the end.

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12. Is International Journal of Bio-Inspired Computation'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 Bio-Inspired Computation?

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 Bio-Inspired Computation. 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 Bio-Inspired Computation?

The 5 most common citation types in order of usage for International Journal of Bio-Inspired Computation 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 International Journal of Bio-Inspired Computation?

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16. Can I download International Journal of Bio-Inspired Computation 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 Bio-Inspired Computation Endnote style according to Elsevier guidelines.

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