THE APPLICATION OF THE GENETIC ALGORITHM TO MULTI-CRITERIA WAREHOUSES LOCATION PROBLEMS ON THE LOGISTICS NETWORK
| العنوان: | THE APPLICATION OF THE GENETIC ALGORITHM TO MULTI-CRITERIA WAREHOUSES LOCATION PROBLEMS ON THE LOGISTICS NETWORK |
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| المؤلفون: | Roland Jachimowski, Mariusz Wasiak, Dariusz Pyza, Mariusz Izdebski, Jolanta Żak, Ilona Jacyna-Gołda, Michał Kłodawski |
| المصدر: | Transport; Vol 33 No 3 (2018); 741-750 Transport, Vol 33, Iss 3 (2018) |
| بيانات النشر: | Vilnius Gediminas Technical University, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | multi-criteria warehouses location problems, Operations research, Computer science, Process (engineering), media_common.quotation_subject, Crossover, Population, 02 engineering and technology, 0502 economics and business, Genetic algorithm, genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, education, Function (engineering), Computer Science::Databases, media_common, 050210 logistics & transportation, education.field_of_study, TA1001-1280, Location model, Mechanical Engineering, 05 social sciences, Transportation engineering, Order (business), Automotive Engineering, Mutation (genetic algorithm), 020201 artificial intelligence & image processing, matrix crossover, adaptation function, optimization |
| الوصف: | This paper presents multi-criteria warehouses location problem in the logistics network. In order to solve this problem the location model was developed. The limitations and optimization criteria of the model were determined. Optimization criteria refer to transportation costs, costs associated with warehouses, e.g.: local taxes, expenditure on starting the warehouse, the constant costs, the labour force costs, the purchase costs of the additional land for the expansion, the transition costs of the raw material via the warehouses. The final location of warehouse facilities was obtained using a genetic algorithm. The genetic algorithm was developed in order to solve the multi-criteria warehouses location problem. This paper describes the stages of the genetic algorithm i.e. the stage of designating the initial population, the crossover and mutation process, the adaptation function. In this paper, the process of calibration of this algorithm was presented. The results of the genetic algorithm were compared with the random results. |
| وصف الملف: | application/pdf |
| تدمد: | 1648-3480 1648-4142 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6fdddff8ac2a7b46d5e6bed009ee8f9 https://doi.org/10.3846/transport.2018.5165 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....d6fdddff8ac2a7b46d5e6bed009ee8f9 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16483480 16484142 |
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