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Ant colony optimisation algorithm for the facility localisation problem

Data publikacji: 25.01.2018

Czasopismo Techniczne, 2018, Volume 1 Year 2018 (115), s. 103 - 112

https://doi.org/10.4467/2353737XCT.18.008.7959

Autorzy

Krzysztof Schiff
Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology
Wszystkie publikacje autora →

Tytuły

Ant colony optimisation algorithm for the facility localisation problem

Abstrakt

This article describes a new ant colony optimisation algorithm for the facility localisation problem with a new heuristic pattern proposed by the author, which consists of three parts: the function of the average cost of client servicing; the total minimum cost of servicing from a site, which is selected and included into the solution; the function of improving the cost of already serviced clients. In this comparison, simulations were presented, and two parameters were observed: the number of sites and the cost of client servicing. The new algorithm allowed to improve the solution in both of these parameters.

Bibliografia

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Informacje

Informacje: Czasopismo Techniczne, 2018, Volume 1 Year 2018 (115), s. 103 - 112

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Ant colony optimisation algorithm for the facility localisation problem

Angielski:

Ant colony optimisation algorithm for the facility localisation problem

Autorzy

Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology

Publikacja: 25.01.2018

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Krzysztof Schiff (Autor) - 100%

Korekty artykułu:

-

Języki publikacji:

Angielski