Development of an modified Ant Colony Optimization algorithm for solving path planning problems of a robot system-Reference-Cited by-同舟云学术

Development of an modified Ant Colony Optimization algorithm for solving path planning problems of a robot system

Published:2023-03-23 Issue: Volume: Page:
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Container-title:2023 10th International Conference on Signal Processing and Integrated Networks (SPIN)
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Author:

Sharan Sudeep¹,Domínguez-Jiménez Juan José²,Nauth Peter¹

Affiliation:

1. Frankfurt University of Applied Sciences,Faculty of Computer Science and Engineering,Frankfurt am Main,Germany

2. University of Cádiz, Avda. de la Universidad de Cádiz 10, 11519 Puerto Real,UCASE Software Engineering Group, School of Engineering,Cádiz,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115458/10115464/10116860.pdf?arnumber=10116860

Reference10 articles.

1. Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot, Ex-pert Systems with Applications;lei;Volume 215 ISSN,2023

2. A Review: On using ACO Based Hybrid Algorithms for Path Planning of Multi-Mobile Robotics

3. Ant Colony Optimization

4. Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey

5. A Bioinspired Neural Model Based Extended Kalman Filter for Robot SLAM;jianjun ni;Mathematical Problems in Engineering,2014

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1. Comparison of Conventional and Modified Ant Colony Approaches for Path Planning of Robot in an Indoor Environment;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15