Optimization of the Weighted Multi-Facility Location Problem Using MS Excel
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimization of the Weighted Multi-Facility Location Problem Using MS Excel
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Optimization of the Weighted Multi-Facility Location Problem Using MS Excel
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ALGORITHMS
ISSN
1999-4893
e-ISSN
1999-4893
Svazek periodika
14
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
17
Strana od-do
191
Kód UT WoS článku
000675920300001
EID výsledku v databázi Scopus
2-s2.0-85109210868