Routing of vehicles in smart grid to investigate the throughput based on Gray Wolf algorithm
- سال انتشار: 1398
- محل انتشار: همایش ملی علوم و فن آوری های نوین در آب،انرژی و محیط زیست
- کد COI اختصاصی: WEECONF01_051
- زبان مقاله: انگلیسی
- تعداد مشاهده: 664
نویسندگان
Department of Technical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
Department of Technical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
Machinery and Project Affairs Manager In Kosar Institute of Economics – peymab.co
چکیده
One of the important topics that has been used extensively in thelast few decades to raise the efficiency and efficiency of transport systems is the issue of VRP. In many scientific ways, vehicle routing can be analyzed. To have an accurate routing, we first need to have an efficient network for the transport system in order to get the data and information needed to make the decision immediately.the proposed scheme will determine the best route for moving vehicles using gray wolf optimization, so that it is closer to high-traffic areas and can serve more users in less time and with less distance. For this purpose a fitting function is used which includes two indices of total distance traveled by vehicles and density of service demand in the navigated blocks.In this article deals with optimal routing of vehicles in the Intelligent Transportation Network by considering community patterns of behavior for requesting vehicles and applying gray wolf optimization algorithm. The simulation results show that the proposed algorithm outperforms the existing methods in terms throughput rate.کلیدواژه ها
efficiency of transport, VRP, the best route for moving vehicles, Gray Wolf Optimization, throughput rateمقالات مرتبط جدید
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