Home
Author Guide
Editor Guide
Reviewer Guide
Published Issues
Special Issue
Introduction
Special Issues List
Sections and Topics
Sections
Topics
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access
Copyright and Licensing
Preservation and Repository Policy
Publication Ethics
Editorial Process
Contact Us
General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
Powered by
Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
>
Published Issues
>
2017
>
Volume 8, No. 4, November 2017
>
An Improved Firefly Algorithm Based on Newton's Law of Universal Gravitation
Yi lingzhi
1
, Xiao Weihong
1
, Yu Wenxin
2
, and Wang Genpin
3
1. Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, College of Information Engineering, Xiangtan University. Xiangtan, Hunan province 411105, P. R. China
2. Hunan University of Science and Technology, Xiangtan, Hunan province 411201, P. R. China
3. Shenzhen Polytechnic, Shenzhen, Guangdong province 518000, P. R. China
Abstract
—Firefly Algorithm (FA) is a novel swarm intelligence optimization algorithm. Due to the FA have low precision defects, easily falling into local optimum value when solving the global optimal value, an improved Firefly Algorithm based on Newton's law of universal gravitation was proposed in the paper. The proposed algorithm cites the law of gravity, which builds a new evolutionary computation model by using gravity as attractiveness between fireflies. When the population falls into the local optimal region, the proposed algorithm can improve firefly's diversity through Gaussian mutation. Besides, the algorithm is convergent with probability 1. With the experimental results on 4 standard test functions, the results show that the proposed method is superior to FA in computational precision and convergence rate.
Index Terms
—optimal solution, Firefly Algorithm (FA), gravity, Gaussian mutation
Cite: Yi lingzhi, Xiao Weihong, Yu Wenxin, and Wang Genpin, "An Improved Firefly Algorithm Based on Newton's Law of Universal Gravitation," Vol. 8, No. 4, pp. 219-224, November, 2017. doi: 10.12720/jait.8.4.219-224
Final paper-IT020
PREVIOUS PAPER
Standard Deviation Based Modified Cuckoo Optimization Algorithm for Task Scheduling to Efficient Resource Allocation in Cloud Computing
NEXT PAPER
E-Resources Collection Development Process