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A Clustering-Based Particle Swarm Optimization Algorithm for Scheduling in MES

Liao Bo(School of Business Administration,South China University of Technology,Guangzhou 510640,China)  
A new particle swarm optimization(PSO) algorithm is proposed for scheduling in manufacturing execution systems(MES).By taking scheduling function as a stand-alone module in an MES,the proposed algorithm uses clustering technique to improve the particles' search space.Simulation results demonstrate that it is more efficient than the traditional scheduling algorithms.
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