Bio-inspired computing models and algorithms
Bio-inspired computing models and algorithms
Edited by Tao Song, Pan Zheng, Mou Ling Dennis Wong, Xun Wang
- New Jersey : World Scientific, c2019.
- xvi, 282 p. : ill. ; 24 cm.
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.
9789813143173
2018051021
Natural computation
006.38 BI OI
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.
9789813143173
2018051021
Natural computation
006.38 BI OI