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. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9789813143173 
<br/><br/><label>LCCN: </label>2018051021 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Natural computation
<br/><br/><label>Dewey Class. No.: </label>006.38 BI OI