A particle swarm optimization-based hybrid algorithm for minimum concave cost network flow problems
Shangyao Yan (),
Yu-Lin Shih and
Wang-Tsang Lee
Journal of Global Optimization, 2011, vol. 49, issue 4, 539-559
Keywords: Concave arc cost network flow problem; Hybrid algorithm; Particle swarm optimization; Genetic algorithm; Threshold accepting (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10898-010-9548-2 (text/html)
Access to full text is restricted to subscribers.
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:jglopt:v:49:y:2011:i:4:p:539-559
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10898
DOI: 10.1007/s10898-010-9548-2
Access Statistics for this article
Journal of Global Optimization is currently edited by Sergiy Butenko
More articles in Journal of Global Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().