Please use this identifier to cite or link to this item:
|Title:||Ant colony intelligence in agent coordination for dynamic manufacturing scheduling|
Ant colony intelligence
|Citation:||Xiang, W., Lee, H.P. (2008). Ant colony intelligence in agent coordination for dynamic manufacturing scheduling. Proceedings of the World Congress on Intelligent Control and Automation (WCICA) : 3527-3532. ScholarBank@NUS Repository. https://doi.org/10.1109/WCICA.2008.4593484|
|Abstract:||This study aims at building an efficient agent-based dynamic scheduling for real-world manufacturing systems with various products, processes, and disturbances. Ant colony intelligence is proposed to be combined with local agent coordination so as to make autonomous agents adaptive to changing circumstances and to give rise to efficient global performance. Ant colony intelligence integrated with both machine agents and job agents to solve not only the task allocation problem, but also the task sequencing problem. Simulation results show that, for most of the performance measures, a MAS integrated with well-designed ant inspired coordination performs well compared to a MAS using dispatching rules. © 2008 IEEE.|
|Source Title:||Proceedings of the World Congress on Intelligent Control and Automation (WCICA)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 16, 2018
checked on Jun 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.