Swarm Intelligence and Bio-Inspired Computation: 9. Binary Bat Algorithm for Feature Selection
- ISBN-10
- 0128068957
- ISBN-13
- 9780128068953
- Series
- Swarm Intelligence and Bio-Inspired Computation
- Category
- Computers
- Pages
- 450
- Language
- English
- Published
- 2013-05-16
- Publisher
- Elsevier Inc. Chapters
- Authors
- Xin-She Yang, João Paulo Papa, Rodrigo Yuji Mizobe Nakamura
Description
Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions makes an exhaustive search infeasible. In this work, we propose a new nature-inspired feature selection technique based on bats behavior, namely, binary bat algorithm The wrapper approach combines the power of exploration of the bats together with the speed of the optimum-path forest classifier to find a better data representation. Experiments in public datasets have shown that the proposed technique can indeed improve the effectiveness of the optimum-path forest and outperform some well-known swarm-based techniques.
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Other editions
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- 2013-05-16
- 450 pages
- Ebook
- Elsevier Inc. Chapters
-
- 2013-05-16
- 450 pages
- Ebook
- Elsevier Inc. Chapters
-
- 2013-05-16
- 450 pages
- Ebook
- Elsevier Inc. Chapters
-
- 2013-05-16
- 450 pages
- Ebook
- Elsevier Inc. Chapters
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