EconPapers    
Economics at your fingertips  
 

Semi-Deterministic Recursive Optimization Methods for Multichannel Optical Filters

Benjamin Ivorra (), Bijan Mohammadi, Laurent Dumas and Olivier Durand
Additional contact information
Benjamin Ivorra: I3M, University of Montpellier 2
Bijan Mohammadi: I3M, University of Montpellier 2
Laurent Dumas: University of Paris 6, Jacques-Louis Lions Laboratory
Olivier Durand: Alcatel Research and Innovation

A chapter in Numerical Mathematics and Advanced Applications, 2006, pp 1007-1014 from Springer

Abstract: Abstract In this paper, we reformulate global optimization problems in terms of boundary value problems. This allows us to introduce a new class of optimization algorithms. Indeed, many optimization methods, including non-deterministic ones, can be seen as discretizations of initial value problems for differential equations or systems of differential equations. Two algorithms included in this new class are applied and compared with a genetic algorithm for the design of multichannel optical filters.

Date: 2006
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:978-3-540-34288-5_100

Ordering information: This item can be ordered from
http://www.springer.com/9783540342885

DOI: 10.1007/978-3-540-34288-5_100

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 2026-06-01
Handle: RePEc:spr:sprchp:978-3-540-34288-5_100