Particle swarm optimisation with a constraint-handling technique for seller–buyer inventory games
Ching-Shih Tsou,
Shih-Chia Chang and
Chin-Hsiung Hsu
International Journal of Business and Systems Research, 2008, vol. 2, issue 2, 214-225
Abstract:
Most inventory games are analytics-oriented and lack of a solution procedure such that its application may be retarded. In this paper particle Swarm Optimisation (PSO) is modified to solve a seller–buyer inventory game. A constraint-handling mechanism based on the symbiosis phenomenon in biology makes PSO capable to better explore the constrained search space and, finally, to find the equilibrium that characterises pricing and lot sizing for a seller and a buyer, respectively. Our effort attempts to highlight a workable approach for intractable inventory games that exact methods are impossible to apply.
Keywords: particle swarm optimisation; PSO; game theory; constraints handling; symbiosis mechanism; seller–buyer inventory games; symbiosis; pricing; lot sizing. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=20065 (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:ids:ijbsre:v:2:y:2008:i:2:p:214-225
Access Statistics for this article
More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().