Comparing Stochastic Methods on SMES Optimization

O. Hajji, S. Brisset and P. Brochet
Additional contact information
O. Hajji: L2EP
S. Brisset: L2EP
P. Brochet: L2EP

A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 21-32 from Springer

Abstract: Abstract In this paper, the optimization of a superconducting magnetic energy storage (SMES) device is performed by means of three stochastic methods: genetic algorithms, simulated annealing and tabu search which are then compared. The parameter sensitivity is studied and improvements are proposed.

Keywords: genetic algorithm; simulated annealing; tabu search; SMES (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_3

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

DOI: 10.1007/978-94-017-2494-4_3

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 ().