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Title: Multi-agent system for dynamic manufacturing system optimization
Authors: Al-Kanhal, T
Abbod, MF
Keywords: GA;PSO;Multi-agent system;Reheat furnace;Scheduling
Issue 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.
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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