User’s Preference Aggregation Based on Parallel Interactive Genetic Algorithms

Yi Nan Guo; Yong Lin; Mei Yang; Shu Guo Zhang

doi:10.4028/www.scientific.net/AMM.34-35.1159

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Application of Reverse Engineering Technology in Constructing Prototype Surface
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 34-35User’s Preference Aggregation Based on Parallel...

User’s Preference Aggregation Based on Parallel Interactive Genetic Algorithms

Abstract:

In traditional interactive genetic algorithms, high-quality optimal solution is hard to be obtained due to small population size and limited evolutional generations. Aming at above problems, a parallel interactive genetic algorithm based on knowledge migration is proposed. During the evolution, the number of the populations is more than one. Evolution information can be exchanged between every two populations so as to guide themselves evolution. In order to realize the freedom communication, IP multicast is adopted as the transfer protocol to find out the similar users instead of traditional TCP/IP communication mode. Taken the fashion evolutionary design system as test platform, the results indicate that the IP multicast-based parallel interactive genetic algorithm has better population diversity. It also can alleviate user fatigue and speed up the convergence.

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Periodical:

Applied Mechanics and Materials (Volumes 34-35)

Pages:

1159-1164

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.34-35.1159

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Online since:

October 2010

Authors:

Yi Nan Guo, Yong Lin, Mei Yang, Shu Guo Zhang

Keywords:

Communication, IP Multicast, Parallel Interactive Genetic Algorithms

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References

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