EconPapers    
Economics at your fingertips  
 

Metaheuristics in General

Günther Zäpfel (), Roland Braune () and Michael Bögl ()
Additional contact information
Günther Zäpfel: Universität Linz
Roland Braune: Universität Linz
Michael Bögl: Universität Linz

Chapter Chapter 4 in Metaheuristic Search Concepts, 2010, pp 67-73 from Springer

Abstract: Abstract In Chapter 3, we pointed out different ways of conducting a heuristic search within a solution space based on the knapsack problem. We also pointed out that the basic principles of search heuristics which we identified, are generic, meaning that they can be applied to a whole variety of different optimization problems. Likewise, we can consider the strategies which build upon the basic principles as problem-independent. The actual realization of the basic principle itself, however, is a problem-specific issue, since it has to be defined how a solution may be constructed, modified or recombined. Figure 4.1 gives an illustration of these interrelationships.

Keywords: Knapsack Problem; Metaheuristic Algorithm; Heuristic Search Method; Algorithmic Skeleton; Simple Local Search (search for similar items in EconPapers)
Date: 2010
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:978-3-642-11343-7_4

Ordering information: This item can be ordered from
http://www.springer.com/9783642113437

DOI: 10.1007/978-3-642-11343-7_4

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 2025-04-02
Handle: RePEc:spr:sprchp:978-3-642-11343-7_4