Proceedings of 2010 Asia-Pacific Youth Conference on Communication (APYCC 2010 E-BOOK)

Kunming,China,8.7-8.8,2010

ISBN: 978-1-935068-13-6 Scientific Research Publishing, USA

E-Book 542pp Pub. Date: August 2010

Category: Computer Science & Communications

Price: $80

Title: An Optimization for Job-Shop Scheduling Problem Based on Hopfield Neural Network Subtitle as Needed
Source: Proceedings of 2010 Asia-Pacific Youth Conference on Communication (APYCC 2010 E-BOOK) (pp 33-37)
Author(s): Fuyin Du, School of Electrical Engineering of Southwest Jiaotong University, Chengdu, China
Abstract: Combining the optimization function of Hopfield neural network and characteristics of Jop-Sho Scheduling Problem (JSSP), put forward matrix expression mathematic model which fit to solve the JSSP with Hopfield neural network. To ascertain the parameters of neural network and to prove the stability of th systems based on energy function concept of neural network. Then the optimization about JSSP will be turned into seeking attracting point or stable point of neural network system, not only solving speed is very quick but also the result of Hopfield neural network is feasible and optimization. The performance of optimization method proposed is revealed via computer simulations using a actual JSSP.
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