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Chapter

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Title

Framework of Optimization Methodology with Use of an Intelligent Hybrid Transport Management System Based on Hopfield Network and Travelling Salesman Problem

Authors

[ 1 ] Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ 2 ] Katedra Zarządzania Produkcją i Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2013

Chapter type

paper

Publication language

english

Keywords
EN
  • management
  • transport
  • TSP
  • hybrid system
  • Hopfield network
  • expert system
Abstract

EN A medium size (and bigger) company has to have a good (i.e. adjusted to the companies profile and its environment for example economic situation or seasonality of the demand) informatics system. The reason for it is that large amount of date has to be collected on time, transformed and transmitted to allow managers to make adequate and made on time decision. Time factor in this situation is very important and without a good logistic system it is difficult or even impossible to deal with contemporary market. In this paper a framework of a hybrid intelligent system is presented, which will optimize the lead time needed to the transport goods from the company to the receiver. Consequently the time, when the final product will appear on the market will be optimized and thus the product can be both due the client. Transport is often associated with the Travelling Salesman Problem and the method of its approximated solution will be considered.

Pages (from - to)

95 - 102

DOI

10.1007/978-3-319-00551-5_12

URL

https://link.springer.com/chapter/10.1007/978-3-319-00551-5_12

Book

Distributed Computing and Artificial Intelligence : 10th International Conference

Presented on

10th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2013, 22-24.05.2013, Salamanca, Spain

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