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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Fang Liu Bing Wu |
| Copyright Year | 2010 |
| Abstract | The logistics scheduling problem is the core problem of logistic management. In essence, the nature of ant colony algorithm is based on distributed collaborative optimization computing. Especially with the growing scale of the problem solving, parallel implementation of ant colony algorithm has great space to development. After comparing and analysing several classic logistic scheduling algorithms, this paper proposes a parallel logistic scheduling algorithm based on OpenMP and ant colony algorithm, digging the computer power of high performance computing, and optimizing the efficiency of dynamic assignment in the logistic procedure, also improving the scalability of logistic scheduling system. |
| Starting Page | 116 |
| Ending Page | 119 |
| File Size | 248512 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769541365 |
| DOI | 10.1109/MEDIACOM.2010.74 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-07 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Parallel algorithm Instruction sets OpenMP Ant colony Scheduling Scheduling algorithm Logistics |
| Content Type | Text |
| Resource Type | Article |
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