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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaohua Li Lixin Tang |
| Copyright Year | 2005 |
| Description | Author affiliation: Key Lab. of Process Ind. Autom., Minist. of Educ., Beijing (Shaohua Li) |
| Abstract | The fact that diversified and enormous materials are usually stored in open yards adds extra difficulty to model and solve the storage space allocation problem in material yards of iron and steel plants. This paper presents a nonlinear mathematical model for such a problem with the objective function of minimizing transportation costs and penalty trigged by the difference between materials and develops improved tabu search algorithms to solve it. These algorithms have two diversification strategies: (1) using an iterated local search strategy based on random kick moves as a method to escape from local optima and the neighborhood of descent heuristic in the iterated local search is generated by cyclic exchange moves; (2) directly using a cyclic exchange move to guide the search to a solution outside the neighborhood of a local optimum. The test with 150 random data sets proves that the tabu search with new diversification strategies is a fast and effective near optimal algorithm to solve such a practical industry problem |
| File Size | 6865834 |
| File Format | |
| ISBN | 1424400201 |
| DOI | 10.1109/CIMA.2005.1662319 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-15 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | kick move Iron and steel industry Building materials Transportation Material storage Iron Raw materials Steel cyclic exchange transportation iterated local search Production Storage automation tabu search Metals industry Marine vehicles |
| Content Type | Text |
| Resource Type | Article |
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