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Optimization of the Weighted Multi-Facility Location Problem Using MS Excel

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F21%3A00557098" target="_blank" >RIV/60162694:G42__/21:00557098 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/1999-4893/14/7/191/htm" target="_blank" >https://www.mdpi.com/1999-4893/14/7/191/htm</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/a14070191" target="_blank" >10.3390/a14070191</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of the Weighted Multi-Facility Location Problem Using MS Excel

  • Original language description

    This article presents the possibilities in solving the Weighted Multi-Facility Location Problem and its related optimization tasks using a widely available office software-MS Excel with the Solver add-in. To verify the proposed technique, a set of benchmark instances with various point topologies (regular, combination of regular and random, and random) was designed. The optimization results are compared with results achieved by a metaheuristic algorithm based on simulated annealing principles. The influence of the hardware configuration on the performance achieved by MS Excel Solver is also examined and discussed from both the execution time and accuracy perspectives. The experiments showed that this widely available office software is practical for solving even relatively complex optimization tasks (Weighted Multi-Facility Location Problem with 100 points and 20 centers, which consists of 40 continuous optimization variables in two-dimensional space) with sufficient quality for many real-world applications. The method used is described in detail and step-by-step using an example.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ALGORITHMS

  • ISSN

    1999-4893

  • e-ISSN

    1999-4893

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    17

  • Pages from-to

    191

  • UT code for WoS article

    000675920300001

  • EID of the result in the Scopus database

    2-s2.0-85109210868