Intelligent Path Planning and Scheduling for Automated Guided Vehicles Using Evolutionary Algorithm
Abstract
This paper presents a new intelligent path planning and scheduling method for automated guided vehicles in a flexible namufacturing system. The main objective is to minimize the total distance traveled by a loaded vehicle. The path planning and scheduling algorithm is coded in MATLAB using evolutionary algoruthm. The proposed algorithm has considerable advantages over a number of previous efforts and produces reasonably good reults very quickly and hence can be used for real time planning and scheduling of automated guided vehicles. The evolutionary algorithm presented is also flexible, in the sense that it can be used for any number of vehicles and any number of machines in the shop floor with slight modification.
Recommended Citation
L. Meyyappan et al., "Intelligent Path Planning and Scheduling for Automated Guided Vehicles Using Evolutionary Algorithm," Intelligent Systems Through Artificial Neural Networks Smart Engineering Systems Design; Neural Networks, Fuzzy Logic, Evolutionary Programming Data Mining Complex Systems and Artificial Life, American Society of Mechanical Engineers (ASME), Jan 2004.
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
MATLAB; Evolutionary Algorithm; Manufacturing System; Path Planning
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2004
