Improving navigational parameters and control of autonomous robot using hybrid SOMA–PSO technique-Reference-Cited by-同舟云学术

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Improving navigational parameters and control of autonomous robot using hybrid SOMA–PSO technique

Published:2023-01-17 Issue: Volume: Page:
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Muni Manoj Kumar^ORCID,Pradhan Pragyan Kumar,Dhal Prasant Ranjan,Kumar Saroj,Sethi Rabinarayan,Patra Sanjay Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12065-023-00820-8.pdf

Reference33 articles.

1. Song P-C, Pan J-S, Chu S-C (2020) A parallel compact cuckoo search algorithm for three-dimensional path planning. Appl Soft Comput 94:106443

2. Hosseininejad S, Dadkhah C (2019) Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm. Int J Adv Robot Syst 16(2):1729881419839575

3. Hossain MA, Ferdous I (2015) Autonomous robot path planning in dynamic environment using a new optimization technique inspired by bacterial foraging technique. Robot Auton Syst 64:137–141

4. Saraswathi M, Murali GB, Deepak B (2018) Optimal path planning of mobile robot using hybrid cuckoo search-bat algorithm. Procedia Comput Sci 133:510–517

5. Lamini C, Benhlima S, Elbekri A (2018) Genetic algorithm based approach for autonomous mobile robot path planning. Procedia Comput Sci 127:180–189

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