بررسی روش‌های فراابتکاری برای مسائل بهینه‌سازی
محورهای موضوعی : محاسبات تکاملی
مهدی فضلی
1
(دانشگاه آزاد اردبیل)
کلید واژه: تحقیق در عملیات, فراابتکاری, هیبریداسیون, الگوریتم ممتیک,
چکیده مقاله :
در این مقاله به بررسی مشکلات مربوط به مسیریابی و موقعیت یابی با متغیرهای واقعی و بررسی سوالات مربوطه می پردازیم. این تصمیمات مهندسی، موجودی و بهینه سازی در یک سیستم زنجیره تامین چندلایه شامل تامین کنندگان، انبارها و خریداران مختلف گرفته می شود. ما به دنبال راه های جدیدی برای مدیریت مکان و مسیریابی کارآمد و موثر هستیم. به منظور افزایش کارایی و دستیابی به نتایج بهینه، از روش های اکتشافی و فراابتکاری استفاده شده است. در تکنیک های فراابتکاری، معمولا از تکنیک ترکیبی برای افزایش عملکرد استفاده می شود. بنابراین، این مقاله مروری به بررسی روش‌های فراابتکاری و تحلیل مشکلات مکان با استفاده از کمیت‌های مختلف می‌پردازد. همچنین مزایا و معایب هر روش را برای حل بهینه این مشکلات بررسی می کند تا روش های کاربردی و کارآمد را معرفی کند.
In this article, we will examine the problems related to routing and positioning with real variables and examine the related questions. These engineering, inventory and optimization decisions are made in a multi-layered supply chain system, including suppliers, warehouses and different buyers. We are looking for new ways to manage location and routing efficiently and effectively. In order to increase efficiency and achieve optimal results, exploratory and meta-heuristic methods have been used. In meta-heuristic techniques, a combination technique is usually used to increase performance. Therefore, this review article examines meta-heuristic methods and analysis of location problems using different quantities. It also examines the advantages and disadvantages of each method to optimally solve these problems in order to introduce practical and efficient methods
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