Cāmara, Daniel. <br/><br/>
Bio-inspired networking / 
Daniel Cāmara. 
 - London :  ISTE Press :  Elsevier,  2015. 
 - 109 pages :  illustrations ;  24 cm 
 - Networks and telecommunications series. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Evolution and evolutionary algorithms -- Chemical computing -- Nervous system -- Swarm intelligence (SI) 
<br/><br/> Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks. 
<br/><br/><label>ISBN: </label>9781785480218 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science)<br/>Genetic algorithms.<br/>Artificial intelligence.<br/>Evolutionary computation.<br/>Computer networks--Research.<br/>Biological systems--Computer simulation.<br/>Artificial intelligence.<br/>Biological systems--Computer simulation.<br/>Computer networks--Research.<br/>Evolutionary computation.<br/>Genetic algorithms.<br/>Neural networks (Computer science)
<br/><br/><label>LC Class. No.: </label>QA76.87  / .C36 2015 TK5105.5 
<br/><br/><label>Dewey Class. No.: </label>004.6