Multi-AGV path planning with double-path constraints by using an improved genetic algorithm.

Multi-AGV path planning with double-path constraints by using an improved genetic algorithm.

This paper investigates an improved genetic algorithm on multiple automated guided vehicle (multi-AGV) path planning. The innovations embody in two aspects. First, three-exchange crossover heuristic operators are used to produce more optimal offsprings for getting more information than with the trad...

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Bibliographic Details
Main Authors: Zengliang Han, Dongqing Wang, Feng Liu, Zhiyong Zhao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5528885?pdf=render

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