Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm
Efficiency and effectiveness is of importance for selection and localization. There should be regular methodology for targeting in the market by several methods. There is a necessity to have clear study for selection. In the current research, it has been studied the optimal localization at shopping...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Islamic Azad University, Qazvin Branch
2020-03-01
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| Series: | Journal of Optimization in Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.qjie.ir/article_669708_80bacdb3248f1bb36608262e5cd52d50.pdf |
| _version_ | 1819158174791368704 |
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| author | Mahmoud Samadi Mahmoud Nouraei Mohammad Mahdi Mozaffari Babak Haji Karimi |
| author_facet | Mahmoud Samadi Mahmoud Nouraei Mohammad Mahdi Mozaffari Babak Haji Karimi |
| author_sort | Mahmoud Samadi |
| collection | DOAJ |
| description | Efficiency and effectiveness is of importance for selection and localization. There should be regular methodology for targeting in the market by several methods. There is a necessity to have clear study for selection. In the current research, it has been studied the optimal localization at shopping centers. If there is not accuracy and validity, there will be achieved negative results for these centers such as high costs. Nowadays, these centers have turned into a part of consumer life. Today, they have penetrated consumers behavior and impacted on marketing mix. We can understand the importance of them from real shopping to window -shopping. As a meta-heuristic algorithm that inspired by natural systems, genetic algorithm has been used for problem salving as a mathematic model. The nature of genetic algorithm, which has created a relationship between humanity science and mathematics, is the reason for using it in the research. Given developed indices, Selected Iranian cities were selected for this study. Findings of the research showed that we can achieve accurate results with metaheuristic methods. The research is an applied research in terms of purpose, which is to develop applied knowledge in a certain field. |
| first_indexed | 2024-12-22T16:20:28Z |
| format | Article |
| id | doaj.art-6bfbb798a937494ab41bcc138203b68a |
| institution | Directory Open Access Journal |
| issn | 2251-9904 2423-3935 |
| language | English |
| last_indexed | 2024-12-22T16:20:28Z |
| publishDate | 2020-03-01 |
| publisher | Islamic Azad University, Qazvin Branch |
| record_format | Article |
| series | Journal of Optimization in Industrial Engineering |
| spelling | doaj.art-6bfbb798a937494ab41bcc138203b68a2022-12-21T18:20:14ZengIslamic Azad University, Qazvin BranchJournal of Optimization in Industrial Engineering2251-99042423-39352020-03-0113116717610.22094/joie.2019.363.0669708Optimal Localization of Shopping Centers Using Metaheuristic Genetic AlgorithmMahmoud Samadi0Mahmoud Nouraei1Mohammad Mahdi Mozaffari2Babak Haji Karimi3Department of Management Science, Abhar Branch, Islamic Azad University, Abhar, Iran.Department of Management Science, Abhar Branch, Islamic Azad University, Abhar, Iran.Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran.Department of Management Science, Abhar Branch, Islamic Azad University, Abhar, Iran.Efficiency and effectiveness is of importance for selection and localization. There should be regular methodology for targeting in the market by several methods. There is a necessity to have clear study for selection. In the current research, it has been studied the optimal localization at shopping centers. If there is not accuracy and validity, there will be achieved negative results for these centers such as high costs. Nowadays, these centers have turned into a part of consumer life. Today, they have penetrated consumers behavior and impacted on marketing mix. We can understand the importance of them from real shopping to window -shopping. As a meta-heuristic algorithm that inspired by natural systems, genetic algorithm has been used for problem salving as a mathematic model. The nature of genetic algorithm, which has created a relationship between humanity science and mathematics, is the reason for using it in the research. Given developed indices, Selected Iranian cities were selected for this study. Findings of the research showed that we can achieve accurate results with metaheuristic methods. The research is an applied research in terms of purpose, which is to develop applied knowledge in a certain field.http://www.qjie.ir/article_669708_80bacdb3248f1bb36608262e5cd52d50.pdflocalizationshopping centersgenetic algorithm |
| spellingShingle | Mahmoud Samadi Mahmoud Nouraei Mohammad Mahdi Mozaffari Babak Haji Karimi Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm Journal of Optimization in Industrial Engineering localization shopping centers genetic algorithm |
| title | Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm |
| title_full | Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm |
| title_fullStr | Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm |
| title_full_unstemmed | Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm |
| title_short | Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm |
| title_sort | optimal localization of shopping centers using metaheuristic genetic algorithm |
| topic | localization shopping centers genetic algorithm |
| url | http://www.qjie.ir/article_669708_80bacdb3248f1bb36608262e5cd52d50.pdf |
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