Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Akararungruangkul, Raknoi"'
Publikováno v:
In Journal of Open Innovation: Technology, Market, and Complexity December 2019 5(4)
Publikováno v:
International Journal of Production Management & Engineering; 2024, Vol. 12 Issue 1, p91-104, 14p
Autor:
Akararungruangkul, Raknoi
This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on solving the capacitated location-allocation problem in the context of distr
Externí odkaz:
http://arrow.unisa.edu.au:8081/1959.8/80407
http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:44294
http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:44294
Autor:
Akararungruangkul, Raknoi
This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on solving the capacitated location-allocation problem in the context of distr
Externí odkaz:
http://arrow.unisa.edu.au:8081/1959.8/80407
http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:44294
http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:44294
Autor:
Akararungruangkul, Raknoi
This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on solving the capacitated location-allocation problem in the context of distr
Externí odkaz:
http://arrow.unisa.edu.au:8081/1959.8/80407
http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:44294
http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:44294
Akademický článek
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Publikováno v:
Dynamics in Logistics (9783642359651); 2013, p327-336, 10p
Publikováno v:
International Journal of Manufacturing Technology & Management. 2008, Vol. 15 Issue 1, p84-101. 18p.
Publikováno v:
International Journal of Manufacturing Technology & Management. 2008, Vol. 15 Issue 1, p64-83. 20p.
This paper presents a generalised methodology developed for the optimisation of the distribution networks based on Genetic Algorithms (GA). Specifically, it focuses on capacitated Location?Allocation problems. The approach is general, permitting, at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945de19655920013ab7e0715d3e2db86
https://hdl.handle.net/11541.2/112782
https://hdl.handle.net/11541.2/112782