A Hybrid Pso and Shuffled Complex Evolution Algorithm for Order Assignment Problem in Holonic Manufacturing System

Fu Qing Zhao; Jian Hua Zou; Shang Xiong Sheng

doi:10.4028/www.scientific.net/AMR.97-101.2213

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 97-101A Hybrid Pso and Shuffled Complex Evolution...

A Hybrid Pso and Shuffled Complex Evolution Algorithm for Order Assignment Problem in Holonic Manufacturing System

Abstract:

Today’s market dynamics have made operation process in manufacturing system extremely complex and difficult. Enterprise need to continuous adjust its strategies on evaluating and designing their task and order assignment methods to provide products at the lowest possible cost while reducing the total lead time. The evaluation model based on Holonic Manufacturing System is presented in this paper. The model incorporates operation cost and lead time as the object. A hybrid PSO algorithm with Shuffled Complex Evolution Algorithm(SCE) is utilized to compute the combination optimum for Order assignment problem . Simulation result shows that the model and the algorithm are effective to the problem.

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Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

2213-2216

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.97-101.2213

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Online since:

March 2010

Authors:

Fu Qing Zhao, Jian Hua Zou, Shang Xiong Sheng

Keywords:

Evolution Algorithm, Holonic Manufacturing System (HMS), Particle Swarm Optimization Algorithm (PSO), Shuffled Complex Evolution

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