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2013 | OriginalPaper | Chapter

45. Bi-Level Programming Model and Taboo Search Algorithm in Industrial Location Under the Condition of Random Price

Authors : Yuan Qu, Zhong-ping Jiang

Published in: Emerging Technologies for Information Systems, Computing, and Management

Publisher: Springer New York

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Abstract

In this paper, the Bi-level programming model with random prize is presented to solve the industrial location problem. In terms of the binary coding, and controlling the location numbers on the operation of neighborhood, three kinds of neighbor domain are proposed by introducing the taboo search algorithm. In order to improve the taboo search algorithm for the efficiency and effectiveness of the addressed algorithm, the research utilizes a penalty function to deal with the constraints of the total amount of investment as well as introducing the principal of the model and TS. The representative example is used to illustrate the correctness of the optimal algorithm.

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previous chapter Optimization for the Logistics Network of Electric Power Enterprise Based on a Mixed MCPSO and Simulated Annealing Algorithm
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Footnotes
1
The full name of all s. t. in the paper are subject to.
 
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Metadata
Title
Bi-Level Programming Model and Taboo Search Algorithm in Industrial Location Under the Condition of Random Price
Authors
Yuan Qu
Zhong-ping Jiang
Copyright Year
2013
Publisher
Springer New York
Book
Emerging Technologies for Information Systems, Computing, and Management

Print ISBN: 978-1-4614-7009-0

Electronic ISBN: 978-1-4614-7010-6

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4614-7010-6_45