Improved genetic algorithm for mobile robot path planning in static environments-Reference-Cited by-同舟云学术

Improved genetic algorithm for mobile robot path planning in static environments

Published:2024-09 Issue: Volume:249 Page:123762
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ab Wahab Mohd Nadhir^ORCID,Nazir Amril^ORCID,Khalil Ashraf^ORCID,Ho Wong Jun^ORCID,Akbar Muhammad Firdaus^ORCID,Noor Mohd Halim Mohd^ORCID,Mohamed Ahmad Sufril Azlan^ORCID

Funder

Kementerian Pengajian Tinggi Malaysia

Publisher

Elsevier BV

Reference52 articles.

1. Path planning for mobile robot navigation in unknown indoor environments using hybrid PSOFS algorithm;Ab Wahab;IEEE Access,2020

2. A comparative review on mobile robot path planning: Classical or meta-heuristic methods?;Ab Wahab;Annual Reviews in Control,2020

3. Genetic crossover operators for the capacitated vehicle routing problem;Ahmed;Computers, Materials and Continua,2023

4. Mobile robot path planning using an improved ant colony optimization;Akka;International Journal of Advanced Robotic Systems,2018

5. Global path planning for mobile robots in large-scale grid environments using genetic algorithms;Alajlan,2013

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