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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chuan Yue Shingo Mabu Donggeng Yu Yu Wang Hirasawa, K. |
| Copyright Year | 2010 |
| Description | Author affiliation: Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka 808-0135, Japan (Chuan Yue; Shingo Mabu; Donggeng Yu; Yu Wang; Hirasawa, K.) |
| Abstract | Recently, due to the development of the ecommerce, on-line auctions have become a common modern way to trade goods over web. In order to make the trade more efficient and more intelligent, a new strategy has been proposed for bid agents to participate in multiple round auctions to deal with multiple goods. The proposed strategy is developed based on evolutionary Genetic Network Programming (GNP), which uses directed graph structures for getting the optimal solution. In this paper, we considered the most popular two kinds of auctions, English auction and Dutch auction. It is found from the simulation results that the agents adopting the GNP-based strategy performed very well in terms of getting more goods with less money, and they can make their decisions dynamically in response to the changes of the multiple round environments both in English auction and Dutch auction. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 751624 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469093 |
| e-ISBN | 9781424469116 |
| DOI | 10.1109/CEC.2010.5586254 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-18 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economic indicators Genetics History Programming Training Next generation networking Analytical models |
| Content Type | Text |
| Resource Type | Article |
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