Tabu Search and Scatter Search
Ke-Lin Du () and
M. N. S. Swamy ()
Additional contact information
Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering
Chapter Chapter 20 in Search and Optimization by Metaheuristics, 2016, pp 327-336 from Springer
Abstract:
Abstract Tabu search is a single-solution-based stochastic metaheuristic global optimization method. It is a hill-climbing method that imitates human memory structure to improve decision-making. Scatter search is a population-based metaheuristic algorithm. Scatter search and its generalized form called path relinking are intimately related to tabu search, and they derive additional advantages by using adaptive memory mechanism.
Keywords: Local Search; Tabu Search; Tabu List; Scatter Search; Path Relinking (search for similar items in EconPapers)
Date: 2016
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:978-3-319-41192-7_20
Ordering information: This item can be ordered from
http://www.springer.com/9783319411927
DOI: 10.1007/978-3-319-41192-7_20
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 ().