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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaohu Qian Min Huang Taiguang Gao Xingwei Wang |
| Copyright Year | 2014 |
| Abstract | This paper considers the problem of one buyer procuring multi-items from multiple potential suppliers in the electronic reverse auction, where each supplier can bid on combinations of items. From the perspective of the buyer, by considering multi-attributes of each item, a winner determination problem (WDP) of multi-items single-unit combinatorial reverse auctions was described and a bi-objective programming model was established. According to the characteristics of the model, an equivalent single-objective programming model was obtained. As the problem is NP-hard, an improved ant colony (IAC) algorithm considering the dynamic transition strategy and the Max-Min pheromone strategy is proposed for the problem. Experimental results show the effectiveness of the improved algorithm. |
| Starting Page | 1917 |
| Ending Page | 1921 |
| File Size | 1367303 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479914883 |
| DOI | 10.1109/CEC.2014.6900493 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heuristic algorithms Mathematical model Approximation algorithms Educational Activities Board Algorithm design and analysis Equations Procurement Max-Min pheromone strategy reverse auction winner determination problem ant colony algorithm dynamic transition strategy |
| Content Type | Text |
| Resource Type | Article |
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