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ترکیب الگوریتم ژنتیک و جستجوی محلی با استفاده از مقادیر فازی برای حل مسئله مکانیابی | ||
| Journal of New Researches in Mathematics | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 03 خرداد 1402 | ||
| نوع مقاله: research paper | ||
| شناسه دیجیتال (DOI): 10.30495/jnrm.2023.62678.2135 | ||
| نویسندگان | ||
mehdi fazli   1؛ somayyeh faraji amoogin2؛ behruz daneshian3
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| 1Department of Mathematics, Ardabil Branch, Islamic Azad University, Ardabil, Iran | ||
| 2دانشگاه آزاد اسلامی واحد اردبیل | ||
| 3عضو هیات علمی واحد تهرانجنوب | ||
| چکیده | ||
| In this paper, fuzzy values in meta-heuristic method are used to locate the facility. This paper is written based on a combination of nature-inspired methods called genetic algorithm and local search method and has been tested with practical, applied optimization problems and modeling problems. In this paper and our proposed hybrid algorithms, by increasing the number of iterations of the genetic pattern algorithm, the possibility of using the neighborhood search method on the best people is gradually considered. To evaluate the performance of our proposed hybrid method, fuzzy coefficients have been applied to solve the location allocation problem, so that the problem hypotheses, fuzzy random variables, and the capacity of each center are considered infinite. We also do a comparative study of our algorithms for location and quadratic allocation testing problems. The results of numerical optimization show that the proposed method has a better and more desirable performance than similar methods. | ||
| کلیدواژه‌ها | ||
| Genetic algorithm؛ local search method؛ location problem؛ fuzzy values؛ meta-heuristics | ||
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آمار تعداد مشاهده مقاله: 117 |
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