Research of Flexible Dynamic Scheduling Problem Based on Genetic Algorithm

Yu Wu; Xin Cun Zhuang; Cong Xin Li

doi:10.4028/www.scientific.net/AMM.16-19.743

Paper Titles

Analysis of the Influence of the Restraining Chain on the Posture Error of Movable Platform of Hybrid Machine Tools
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Modeling and Simulation of Dynamic Alliance Task Scheduling
p.728

Erection of Upper Ontology and Enrichment of Knowledge Base of Production Workshop in Manufacturing Enterprises
p.733

A Two-Stage Cell Formation Approach with Machine Performance
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Research of Flexible Dynamic Scheduling Problem Based on Genetic Algorithm
p.743

Study and Execution of Advanced Batch Production Planning System for an Aerospace Industry
p.748

Constructing a Web-Based Fuzzy Expert System for Aeroengine Fault Diagnosis
p.753

Study on Knowledge Base Construction for the Network Teaching Resource Based on Semantic Web
p.758

Research on Modeling and Reasoning Framework of Ontology-Based Equipment Selection and Matching Expert System in Fully Mechanized Caving Face
p.764

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 16-19Research of Flexible Dynamic Scheduling Problem...

Research of Flexible Dynamic Scheduling Problem Based on Genetic Algorithm

Abstract:

Solve the flexible dynamic scheduling problem by using “dynamic management & static scheduling” method. Aim at the property of flexible Manufacturing systems, the dynamic scheduling methods are analyzed and a coding method based on working procedure is improved in this paper. Thus it can be efficiently solve the problem of multiple working routes selection under the active distribution principle. On the other hand, the self-adaptive gene is provided and the parameters of the genetic algorithm are defined. In such a solution, the scheduling is confirmed to be simple and efficient.

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Periodical:

Applied Mechanics and Materials (Volumes 16-19)

Pages:

743-747

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.16-19.743

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Online since:

October 2009

Authors:

Yu Wu, Xin Cun Zhuang, Cong Xin Li

Keywords:

Dynamic Scheduling, Flexible Manufacturing System, Genetic Algorithm (GA)

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References

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