EconPapers    
Economics at your fingertips  
 

Mimicking Nature

Antonio Savini ()
Additional contact information
Antonio Savini: University of Pavia, Department of Electrical Engineering

A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 13-19 from Springer

Abstract: Abstract After a brief overview on the attempts to apply mathematical models to investigate nature and, reciprocally, to deduce mathematical tools from the study of nature, a survey of methodologies in computational electromagnetics inspired by nature is given. Present state and new trends are discussed

Keywords: nature-inspired optimization; non-deterministic algorithms (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-2494-4_2

Ordering information: This item can be ordered from
http://www.springer.com/9789401724944

DOI: 10.1007/978-94-017-2494-4_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-94-017-2494-4_2