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https://doi.org/10.1007/s00170-003-1952-z

has been cited by the following article:

• TITLE: Optimization of Path Planning for Construction Robots Based on Multiple Advanced Algorithms

  AUTHORS: Kang Tan

  KEYWORDS: Path Planning, Construction Robots, Optimization Algorithm

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.7, July 17, 2018

  ABSTRACT: There are many processes involved in construction, it is necessary to optimize the path planning of construction robots. Most researches focused more on optimization algorithms, but less on comparative analysis based on the advantages and shortcomings of these algorithms. Therefore, the innovation of this paper is to analyze three advanced optimization algorithms (genetic algorithm, hybrid particle swarm algorithm and ant colony algorithm) and discuss how these algorithms can improve the optimization performance by adjusting parameters. Finally, the three algorithms are compared and analyzed to find an optimization algorithm that is suitable for path planning optimization of construction robots. The purpose of the optimization is to obtain the maximum benefit with the least cost and complete project in an efficient and economical way.