Nature inspired evolutionary approaches for robot navigation: Survey-Reference-Cited by-同舟云学术

Nature inspired evolutionary approaches for robot navigation: Survey

Published:2020-02-17 Issue:2 Volume:41 Page:421-436
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Agarwal Divya¹,Bharti Pushpendra S.²

Affiliation:

1. Guru Gobind Singh Indraprastha University, University School of Information, Communication and Technology, Sector 16 C, Dwarka, New Delhi 110078, India

2. Guru Gobind Singh Indraprastha University, University School of Information, Communication and Technology, Sector 16 C, Dwarka, New Delhi 110078, India,

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2020.1723938

Reference43 articles.

1. Path Planning of an Autonomous Mobile Robot using Enhanced Bacterial Foraging Optimization Algorithm

2. Comparative study of soft computing techniques for mobile robot navigation in an unknown environment

3. Spider Monkey Optimization: a survey

4. Bio-inspired computing: Algorithms review, deep analysis, and the scope of applications

5. A review: On path planning strategies for navigation of mobile robot

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