Generalized Differential Evolution for General Non-Linear Optimization

Saku Kukkonen () and Jouni Lampinen ()
Additional contact information
Saku Kukkonen: Lappeenranta University of Technology, Laboratory of Applied Mathematics
Jouni Lampinen: University of Vaasa, Department of Computer Science

A chapter in COMPSTAT 2008, 2008, pp 459-471 from Springer

Abstract: Abstract In this article different development phases and the current state of the Generalized Differential Evolution algorithm, that we have developed, are summarized. Generalized Differential Evolution is a general purpose solver for non-linear global optimization problems with multiple constraints and objectives. It is based on a relatively recent Evolutionary Algorithm, Differential Evolution, extending it for solving constrained multi-objective problems.

Keywords: evolutionary algorithms; differential evolution; multi-objective optimization; diversity maintenance; constraint handling (search for similar items in EconPapers)
Date: 2008
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:978-3-7908-2084-3_38

Ordering information: This item can be ordered from
http://www.springer.com/9783790820843

DOI: 10.1007/978-3-7908-2084-3_38

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 ().