A Clonal Selection Algorithm for Minimizing Distance Travel and Back Tracking of Automatic Guided Vehicles in Flexible Manufacturing System

2018 ◽  
Vol 100 (3) ◽  
pp. 401-410 ◽  
Author(s):  
Viveak Kumar Chawla ◽  
Arindam Kumar Chanda ◽  
Surjit Angra
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Clonal Selection ◽  
Clonal Selection Algorithm ◽  
Selection Algorithm ◽  
Automatic Guided Vehicles ◽  
Distance Travel

Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory

2010 ◽  
Vol 447-448 ◽  
pp. 326-330 ◽  
Author(s):  
Hidehiko Yamamoto ◽  
Takayoshi Yamada
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Automatic Guided Vehicles ◽  
Reasoning System ◽  
Priority Ranking ◽  
The Future ◽  
Competing Hypotheses ◽  
A Priority ◽  
Production Conditions

This paper describes a method to control Autonomous decentralized Flexible Manufacturing System (AD-FMS) by using a memory to determine a priority ranking for competing hypotheses. The aim is to increase the reasoning efficiency of a system the author calls reasoning to anticipate the future (RAF) which controls automatic guided vehicles (AGVs) in AD-FMSs. The system includes memory data of past production conditions and AGV actions. The system was applied to an AD-FMS that was constructed on a computer. The results showed that, compared with conventional reasoning, this reasoning system reduced the number of hypothesis replacements until a true hypothesis was reached.　

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