Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using PSO–GWO optimization algorithm with evolutionary programming-Reference-Cited by-同舟云学术

Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using PSO–GWO optimization algorithm with evolutionary programming

Published:2020-09-16 Issue:7 Volume:12 Page:7873-7890
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Gul Faiza^ORCID,Rahiman Wan,Alhady S. S. N,Ali Ahmad,Mir Imran,Jalil Abdul

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02514-w.pdf

Reference51 articles.

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3. Ahmed F, Deb K (2013) Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms. Soft Comput 17(7):1283–1299

4. Ajeil FH, Ibraheem IK, Sahib MA, Humaidi AJ (2020) Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm. Appl Soft Comput 89:106076

5. Albina K, Lee SG (2019) Hybrid stochastic exploration using grey wolf optimizer and coordinated multi-robot exploration algorithms. IEEE Access 7:14246–14255

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