Optimization of Service Rate in a Discrete-Time Impatient Customer Queue Using Particle Swarm Optimization View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Pikkala Vijaya Laxmi , Kanithi Jyothsna

ABSTRACT

This paper investigates a discrete-time balking, reneging queue with Bernoulli-schedule vacation interruption. Particle swarm optimization which is a biologically inspired optimization technique mimicking the behavior of birds flocking or fish schooling is implemented to determine the optimum service rate that minimizes the total expected cost function per unit time. A potential application of the considered queueing problem in an inbound email contact center is also presented. More... »

PAGES

38-42

Book

TITLE

Distributed Computing and Internet Technology

ISBN

978-3-319-28033-2
978-3-319-28034-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-28034-9_5

DOI

http://dx.doi.org/10.1007/978-3-319-28034-9_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001059198


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