Robot Path Planning using Clonal Selection Algorithm

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Daneshnia s.a.; GOLZARI Sh.; Harifi a.; Rezaee A.A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2019 | Volume:17 | Issue:1 Page(s): 77-85

Download Full-Text

Persian Verion

View:

1,795

Download:

Cites:

Information Journal Paper

Title

Robot Path Planning using Clonal Selection Algorithm

Author(s)

Daneshnia s.a. | GOLZARI Sh. | Harifi a. | Rezaee A.A. | Issue Writer Certificate

Keywords

Mobile robotQ1

clonal selection algorithmQ1

path planningQ2

Abstract

path planning of Mobile robot is one of the most important topics in Mobile robotic discussion. The aim of this study is to find a continuous path from an initial position to the final target; So that, it should be free of collision and optimal or near to optimal. Since path planning problem of robot is one type of optimization problems, the evolutionary algorithms can be used to solve this problem. Nowadays, clonal selection algorithm is frequently used to solve the problems because of having valuable computational characteristics. But very little attempts have been done in the field of using this method to solve robot path planning problem. Few accomplished attempts are actually a kind of improved genetic algorithm. In this research, an efficient method for robot path planning in the presence of obstacles is designed using all the features of the clonal selection algorithm. The proposed method is evaluated in various environments with different runs in terms of the proposed path length criteria and the number of generations needed to generate the path. Based on the results of experiments, the proposed method shows better performance than the genetic algorithm in all environments and all the evaluation parameters. Especially, by increasing the number of obstacles vertices and also concave obstacles, the proposed method shows much more efficient performance than the genetic algorithm. Also, comparing the performance of the proposed method with the BPSO algorithm (presented in another study) indicates the superiority of path planning algorithm based on the clonal selection.

Cites

No record.

References

No record.

Cite

APA: Copy

Daneshnia, s.a., GOLZARI, Sh., Harifi, a., & Rezaee, A.A.. (2019). Robot Path Planning using Clonal Selection Algorithm. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 17(1 ), 77-85. SID. https://sid.ir/paper/228455/en

Vancouver: Copy

Daneshnia s.a., GOLZARI Sh., Harifi a., Rezaee A.A.. Robot Path Planning using Clonal Selection Algorithm. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2019;17(1 ):77-85. Available from: https://sid.ir/paper/228455/en

IEEE: Copy

s.a. Daneshnia, Sh. GOLZARI, a. Harifi, and A.A. Rezaee, “Robot Path Planning using Clonal Selection Algorithm,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 17, no. 1 , pp. 77–85, 2019, [Online]. Available: https://sid.ir/paper/228455/en

Related Journal Papers