Chi tiết| Tên | An efficient ant colony optimization algorithm for Multiple Graph Alignment |
| Lĩnh vực | Tin học |
| Tác giả | Trần Ngọc Hà, Đỗ Đức Đông, Hoàng Xuân Huấn |
| Nhà xuất bản / Tạp chí | Proceedings of Computing, Management and Telecommunications (ComManTel), 2013 International Conference on Năm 2013 |
| Số hiệu ISSN/ISBN | 978-1-4673-2087-0 |
| Tóm tắt nội dung | |
The Multiple Graph Alignment (MGA) is a new method to analyze the structure of biological molecules. This method allows detect functional similarities in the structure of biological systems. This article introduces an ant colony optimization algorithm combined with local search for optimal align multi-graph analysis of protein structures. Experiment results showed that the new algorithm outperformed the other heuristic approach and existing evolutionary computing. Tải file An efficient ant colony optimization algorithm for Multiple Graph Alignment tại đây |
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