Periodicity: Bi Annual.
Impact Factor:
SJIF:5.079 & GIF:0.416
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

Paper Template
Copyright Form
Subscription Form
web counter
web counter

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJCOA provides online manuscript tracking system.

Every issue of Journal of IJCOA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJCOA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJCOA website. For complete procedure, contact us at

SCIA Journal Metrics

Published in:   Vol. 8 Issue 2 Date of Publication:   December 2019
Page(s):   88-96 Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA. SAI : 2018SCIA316F0925

Capacitated Vehicle Routing Problem is a problem about finding the shortest route travelled by the vehicles in serving the customers. Each vehicle starts from a depot and the vehicle that has completed the assigned route will return to the depot. Each customer can only be served by one vehicle. The vehicle capacity and demand of each customer are considered. In this research, Capacitated Vehicle Routing Problem was solved by using Football Game Algorithm. Football Game Algorithm is a metaheuristic algorithm that is inspired by the behavior of football players in finding the best position to score. The total distance was used to measure the performance of Football Game Algorithm in solving the Capacitated Vehicle Routing Problem. Football Game Algorithm was implemented in six benchmark cases. The performances of the implementation were compared to those of Artificial Bee Colony and Genetic Algorithm. In four cases, Football Game Algorithm performed as good as Artificial Bee Colony and Genetic Algorithm in achieving best solutions. In the other two cases, Football Game Algorithm performed slightly worse than Genetic Algorithm. Several parameters that used in Football Game Algorithm were tested. The parameters were tested in order to see the effect of parameters in the performance of Football Game Algorithm. The results showed that the values of some parameters affect the performance of Football Game Algorithm.