Enhanced ant colony algorithm with obstacle avoidance strategy for multi-objective path planning of mobile robots-Reference-Cited by-同舟云学术

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Enhanced ant colony algorithm with obstacle avoidance strategy for multi-objective path planning of mobile robots

Published:2023-10-26 Issue: Volume: Page:1-21
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhang Ke¹,Chai Bin¹,Tan Minghu¹,Zhang Ye¹,Wang Jingyu¹

Affiliation:

1. School of Astronautics, Northwestern Polytechnical University, Xi’an, People’s Republic of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2023.2269844

Reference50 articles.

1. Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges

2. Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm

3. UAV path planning using artificial potential field method updated by optimal control theory

4. Hyperspectral Image Classification Based on Fusing S3-PCA, 2D-SSA and Random Patch Network

5. An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation

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