Particle swarm optimisation with a constraint-handling technique for seller–buyer inventory games
by Ching-Shih Tsou, Shih-Chia Chang, Chin-Hsiung Hsu
International Journal of Business and Systems Research (IJBSR), Vol. 2, No. 2, 2008

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.

Online publication date: Sat, 23-Aug-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business and Systems Research (IJBSR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com