Path planning of mobile robot using improved artificial bee colony algorithm

Time cited in Arcif : 
1

Joint Authors

Ulaywi, Bushra Kazim
Kamil, Rka T.
Muhammad, Muhammad J.

Source

Engineering and Technology Journal

Issue

Vol. 38, Issue 9A (30 Sep. 2020), pp.1384-1395, 12 p.

Publisher

University of Technology

Publication Date

2020-09-30

Country of Publication

Iraq

No. of Pages

12

Main Subjects

Mechanical Engineering

Topics

Abstract EN

A modified version of the artificial Bee Colony Algorithm (ABC) was suggested namely Adaptive Dimension Limit-Artificial Bee Colony Algorithm (ADL-ABC).

To determine the optimum global path for mobile robot that satisfies the chosen criteria for shortest distance and collision–free with circular shaped static obstacles on robot environment.

The cubic polynomial connects the start point to the end point through three via points used, so the generated paths are smooth and achievable by the robot.

Two case studies (or scenarios) are presented in this task and comparative research (or study) is adopted between two algorithm's results in order to evaluate the performance of the suggested algorithm.

The results of the simulation showed that modified parameter (dynamic control limit) is avoiding static number of limit which excludesunnecessary Iteration, so it can find solution with minimum number of iterations and less computational time.

From tables of result if there is an equal distance along the path such as in case A (14.490, 14.459) unit, there will be a reduction in time approximately to halve at percentage free with circular shaped static obstacles on robot environment.

The cubic polynomial connects the start point to the end point through three via points used, so the generated paths are smooth and achievable by the robot.

Two case studies (or scenarios) are presented in this task and comparative research (or study) is adopted between two algorithm's results in order to evaluate the performance of the suggested algorithm.

The results of the simulation showed that modified parameter (dynamic control limit) is avoiding static number of limit which excludesunnecessary Iteration, so it can find solution with minimum number of iterations and less computational time.

From tables of result if there is an equal distance along the path such as in case A (14.490, 14.459) unit, there will be a reduction in time approximately to halve at percentage 5% .

American Psychological Association (APA)

Kamil, Rka T.& Muhammad, Muhammad J.& Ulaywi, Bushra Kazim. 2020. Path planning of mobile robot using improved artificial bee colony algorithm. Engineering and Technology Journal،Vol. 38, no. 9A, pp.1384-1395.
https://search.emarefa.net/detail/BIM-1236320

Modern Language Association (MLA)

Kamil, Rka T.…[et al.]. Path planning of mobile robot using improved artificial bee colony algorithm. Engineering and Technology Journal Vol. 38, no. 9A (2020), pp.1384-1395.
https://search.emarefa.net/detail/BIM-1236320

American Medical Association (AMA)

Kamil, Rka T.& Muhammad, Muhammad J.& Ulaywi, Bushra Kazim. Path planning of mobile robot using improved artificial bee colony algorithm. Engineering and Technology Journal. 2020. Vol. 38, no. 9A, pp.1384-1395.
https://search.emarefa.net/detail/BIM-1236320

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1394-1395

Record ID

BIM-1236320