Hybrid chaos-based particle swarm optimization-ant colony optimization algorithm with asynchronous pheromone updating strategy for path planning of landfill inspection robots

Robots are coming to help us in different harsh environments such as deep sea or coal mine. Waste landfill is the place like these with casualty risk, gas poisoning, and explosion hazards. It is reasonable to use robots to fulfill tasks like burying operation, transportation, and inspection. In thes...

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Bibliographic Details
Published in:	International journal of advanced robotic systems Vol. 16; no. 4; p. 172988141985908
Main Authors:	Chen, Peng, Li, Qing, Zhang, Chao, Cui, Jiarui, Zhou, Hao
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.07.2019 Sage Publications Ltd SAGE Publishing
Subjects:	Algorithms Ant colony optimization Chebyshev approximation Coal mine wastes Computer simulation Deep sea Hazards Hybrid systems Inspection Iterative methods Landfill Landfills Object oriented programming Optimization Parameters Particle swarm optimization Path planning Robots Strategy Swarm intelligence chaos Landfill robots path planning pheromone PSO ACO iterations
ISSN:	1729-8806, 1729-8814, 1729-8814
Online Access:	Get full text
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