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Author Taniguchi, Y. ♦ Onoyama, T. ♦ Tsuruta, S.
Sponsorship IEEE Control Syst. Soc
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2002
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Computer networks ♦ Distributed computing ♦ Large-scale systems ♦ Humans ♦ Environmental factors ♦ Design optimization ♦ Algorithm design and analysis ♦ Intelligent networks ♦ Genetic algorithms ♦ Automatic control
Abstract To enhance distribution efficiency, optimizing a large-scale distribution network is necessary. However, in such a network, there are hundreds of distribution/collection locations, and dozens of distribution centers each having tens or hundreds of trucks. Furthermore, the network's optimality should be considered from various aspects such as social, political, and environmental factors, which needs human decision. Thus, the design to optimize such a distribution network is a large-scale combinatorial and man-in-the-loop problem. To solve this problem, a computer-aided distribution network designing system is proposed, which has intelligent genetic algorithm and goal-oriented strategic knowledge based control framework. The former guarantees interactive responsiveness and realizes experts' level accuracy. The latter supports to design optimal networks through almost automatically designing distribution networks that satisfy human input goals. Experimental results proved that the proposed method was useful for supporting the design of large-scale distribution networks totally optimal from various aspects such as social or political factors.
Description Author affiliation: Hitachi Microsoftware Syst. Inc., Yokohama, Japan (Taniguchi, Y.)
ISBN 0780373863
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2002-09-18
Publisher Place UK
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 444.10 kB
Page Count 6
Starting Page 796
Ending Page 801


Source: IEEE Xplore Digital Library