Mobile robot path planning based on bi-population particle swarm optimization with random perturbation strategy-Reference-Cited by-同舟云学术

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Mobile robot path planning based on bi-population particle swarm optimization with random perturbation strategy

Published:2024-02 Issue:2 Volume:36 Page:101974
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Tao Bodong^ORCID,Kim Jae-Hoon^ORCID

Funder

Ministry of Education

National Research Foundation of Korea

Publisher

Elsevier BV

Reference36 articles.

1. Designing a heuristic computing structure to solve the human balancing model;AbuAli;J. King Saud Univ.-Comput. Inf. Sci.,2023

2. A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images;Aghamohammadi;SIViP,2023

3. Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm;Ajeil;Appl. Soft Comput.,2020

4. Particle swarm optimization and two-way fixed-effects analysis of variance for efficient brain tumor segmentation;Atia;Cancers,2022

5. Comparing inertia weights of particle swarm optimization in multimodal functions;Aydilek,2017

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1. Gyro fireworks algorithm: A new metaheuristic algorithm;AIP Advances;2024-08-01

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