Bio-inspired computing models and algorithms Edited by Tao Song, Pan Zheng, Mou Ling Dennis Wong, Xun Wang
Material type: TextPublication details: New Jersey : World Scientific, c2019.Description: xvi, 282 p. : ill. ; 24 cmISBN:- 9789813143173
- 006.38 BI OI
Item type | Current library | Call number | Status | Notes | Date due | Barcode | |
---|---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 006.38 BI OI (Browse shelf(Opens below)) | Available | June2020 | T0064643 |
Includes bibliographical references and index.
Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems.Written by world-renowned researchers, this compendium covers the most influential topics on BIC, where the newly-obtained algorithms, developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well.
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