Graph-based robot optimal path planning with bio-inspired algorithms

Recently, bio-inspired algorithms have been increasingly explored for autonomous robot path planning on grid-based maps. However, these approaches endure performance degradation as problem complexity increases, often resulting in lengthy search times to find an optimal solution. This limitation is p...

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Bibliographic Details

Published in:	Biomimetic Intelligence and Robotics
Main Authors:	Tingjun Lei, Timothy Sellers, Chaomin Luo, Daniel W. Carruth, Zhuming Bi
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Subjects:	Autonomous robot Path planning Bio-inspired algorithm Graph-based model Improved seagull optimization algorithm (iSOA)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667379723000335