Automatic Algorithm of Effectiveness of Accounting Management Systems Based on Genetic Algorithm

Chunming An; Yin Xing Li

doi:10.4028/www.scientific.net/AMM.321-324.2093

Paper Titles

Stochastic Programming Based on Traveling Salesman Problem with Stochastic Cost
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Application and Research of the Granular Evolutionary Neural Network Algorithms for the Complex Network
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Automatic Automotive Panel Drawing Direction Algorithm Based on Genetic Algorithm
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Maximum Sampling Sequence Design in Teaching Management Application Based on Genetic Algorithm
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Automatic Algorithm of Effectiveness of Accounting Management Systems Based on Genetic Algorithm
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Optimizing Mining Association Rules of Japanese Literary Characteristics Based on Artificial Neural Network
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The Automatic Algorithm of Cause and Effect of Finace Information Systems Based on Management Capabilities
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The Automatic Algorithm of Filling Hole Based-Mesh Panel Information Based-System Management
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Multi-Objective Optimization of Multi-Mixed-Model Assembly Lines Sequencing Problem
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Automatic Algorithm of Effectiveness of Accounting...

Automatic Algorithm of Effectiveness of Accounting Management Systems Based on Genetic Algorithm

Abstract:

The right panel drawing direction is an important prerequisite for generating qualified parts, an important step before the panel forming simulation is to determine the reasonable direction of the drawing. Manually adjust parts in order to overcome rely on experience, the drawbacks to the drawing direction, the direction of the drawing punch and forming the contact area of the sheet as the goal of automatic determination algorithm. Objective function of the direction of the drawing for the variable contact area in the drawing direction of the feasible region, the use of heritage algorithms to optimize the objective function of the contact area and, ultimately feasible within the contact area corresponding to the drawing direction, that is the best drawing direction. The measured results show that the direction of the drawing based on genetic algorithm, the automatic algorithm can fast and accurate to obtain the optimal direction of drawing.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2093-2096

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2093

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Online since:

June 2013

Authors:

Chunming An, Yin Xing Li

Keywords:

Automatic Algorithm, Automotive, Covering, Genetic Algorithm (GA), Stamping Direction

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