Brunel University Research Archive (BURA) >
Schools >
School of Engineering and Design >
School of Engineering and Design Research papers >

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2392

Title: Multi-agent system for dynamic manufacturing system optimization
Authors: Al-Kanhal, T
Abbod, MF
Keywords: GA
PSO
Multi-agent system
Reheat furnace
Scheduling
Publication Date: 2008
Publisher: Springer
Citation: The ICCS2008 International Conference on Computational Science: Advancing Science through Computation, Krakow, Poland, June 23-25, 2008
Abstract: This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are considered. Therefore, fast approximations to the objective function are required. This paper employs bundle of intelligent systems algorithms tied together in a multi-agent system. In order to demonstrate the system, a metal reheat furnace scheduling problem is adopted for highly demanded optimization problem. The proposed multi-agent approach has been evaluated for different settings of the reheat furnace scheduling problem. Particle Swarm Optimization, Genetic Algorithm with different classic and advanced versions: GA with chromosome differentiation, Age GA, and Sexual GA, and finally a Mimetic GA, which is based on combining the GA as a global optimizer and the PSO as a local optimizer. Experimentation has been performed to validate the multi-agent system on the reheat furnace scheduling problem.
URI: http://bura.brunel.ac.uk/handle/2438/2392
Appears in Collections:School of Engineering and Design Research papers
Electronic and Computer Engineering
Advanced Manufacturing and Enterprise Engineering (AMEE)

Files in This Item:

File Description SizeFormat
Multi-Agent System for Dynamic Manufacturing System Optimization.pdf212.33 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.

 


Library (c) Brunel University.    Powered By: DSpace
Send us your
Feedback. Last Updated: September 14, 2010.
Managed by:
Hassan Bhuiyan