Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem

Algirdas Lančinskas (), Pascual Fernández (), Blas Pelegrín () and Julius Žilinskas ()
Additional contact information
Algirdas Lančinskas: Vilnius University
Pascual Fernández: University of Murcia
Blas Pelegrín: University of Murcia
Julius Žilinskas: Vilnius University

A chapter in Advances in Stochastic and Deterministic Global Optimization, 2016, pp 255-272 from Springer

Abstract: Abstract We deal with the location problem for a franchise type expanding firm in competition with other firms in a geographical area. The firm aims at maximization of the market share captured by the new facilities and minimization of the lost market share of the old facilities caused by the entering of the new facilities in the market. The market share of each facility is estimated assuming that customers are served by the most attractive facility. A new tie breaking rule is introduced to serve the customers for which there are more than one facility with the maximum attraction, which leads to a hard nonlinear bi-objective optimization problem. A heuristic algorithm is proposed which obtains a good approximation of the Pareto front when the new facilities have to be selected from a finite set of candidates.

Keywords: competitive facility location; firm expansion; multi-objective optimization (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:spochp:978-3-319-29975-4_14

Ordering information: This item can be ordered from
http://www.springer.com/9783319299754

DOI: 10.1007/978-3-319-29975-4_14

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().