Parallel Optimization Algorithm for Competitive Facility Location

A stochastic search optimization algorithm is developed and applied to solve a bi-objective competitive facility location problem for firm expansion. Parallel versions of the developed algorithm for shared- and distributed-memory parallel computing systems are proposed and experimentally investigate...

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Vydáno v:Mathematical modelling and analysis Ročník 20; číslo 5; s. 619 - 640
Hlavní autoři: Lančinskas, Algirdas, Ortigosa, Pilar Martínez, Žilinskas, Julius
Médium: Journal Article
Jazyk:angličtina
Vydáno: Taylor & Francis 03.09.2015
Vilnius Gediminas Technical University
Témata:
Algorithms
Approximation
Facilities
facility location
Location
Mathematical analysis
Mathematical research
Operations research
Optimization
Optimization theory
parallel computing
Precursors
Site selection
optimization
parallel computing
facility location
ISSN:1392-6292, 1648-3510
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Abstract A stochastic search optimization algorithm is developed and applied to solve a bi-objective competitive facility location problem for firm expansion. Parallel versions of the developed algorithm for shared- and distributed-memory parallel computing systems are proposed and experimentally investigated by approximating the Pareto front of the competitive facility location problem of different scope. It is shown that the developed algorithm has advantages against its precursor in the sense of the precision of approximation. It is also shown that the proposed parallel versions of the algorithm have almost linear speed-up when solving competitive facility location problems of different scope reasonable for practical applications.
AbstractList A stochastic search optimization algorithm is developed and applied to solve a bi-objective competitive facility location problem for firm expansion. Parallel versions of the developed algorithm for shared- and distributed-memory parallel computing systems are proposed and experimentally investigated by approximating the Pareto front of the competitive facility location problem of different scope. It is shown that the developed algorithm has advantages against its precursor in the sense of the precision of approximation. It is also shown that the proposed parallel versions of the algorithm have almost linear speed-up when solving competitive facility location problems of different scope reasonable for practical applications.Keywords: optimization, facility location, parallel computing.AMS Subject Classification: 90C29; 68W10.
A stochastic search optimization algorithm is developed and applied to solve a bi-objective competitive facility location problem for firm expansion. Parallel versions of the developed algorithm for shared- and distributed-memory parallel computing systems are proposed and experimentally investigated by approximating the Pareto front of the competitive facility location problem of different scope. It is shown that the developed algorithm has advantages against its precursor in the sense of the precision of approximation. It is also shown that the proposed parallel versions of the algorithm have almost linear speed-up when solving competitive facility location problems of different scope reasonable for practical applications.
Audience Academic
Author Žilinskas, Julius
Lančinskas, Algirdas
Ortigosa, Pilar Martínez
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  givenname: Julius
  surname: Žilinskas
  fullname: Žilinskas, Julius
  email: julius.zilinskas@mii.vu.lt
  organization: Vilnius University, Institute of Mathematics and Informatics
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Snippet A stochastic search optimization algorithm is developed and applied to solve a bi-objective competitive facility location problem for firm expansion. Parallel...
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SubjectTerms Algorithms
Approximation
Facilities
facility location
Location
Mathematical analysis
Mathematical research
Operations research
Optimization
Optimization theory
parallel computing
Precursors
Site selection
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Title Parallel Optimization Algorithm for Competitive Facility Location
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