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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440An Interactive Neural Network for Constrained...

An Interactive Neural Network for Constrained Multi-Objective Optimization with Application to the Design of Digital Filters

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Abstract:

This paper presents a new interactive neural network for solving constrained multi-objective optimization problems. The constrained multi-objective optimization problem is reformulated into two constrained single objective optimization problems and two neural networks are designed to obtain the optimal weight and the optimal solution of the two optimization problems respectively. The proposed algorithm has a low computational complexity and is easy to be implemented. Moreover, the proposed algorithm is well applied to the design of digital filters. Computed results illustrate the good performance of the proposed algorithm.

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Materials Science and Information Technology

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

2808-2816

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.2808

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Online since:

January 2012

Authors:

Jian Jin Zheng, You Shen Xia

Keywords:

Digital Filter, Interactive Neural Network, Multi-Objective Optimization (MOP)

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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