Moth Flame Optimization Based on Golden Section Search and its Application for Link Prediction Problem
نویسندگان
چکیده
منابع مشابه
Maximum Power Point Tracker for Photovoltaic Systems Based on Moth-Flame Optimization Considering Partial Shading Conditions
The performance of photovoltaic (PV) systems is highly dependent on environmental conditions. Due to probable changes in environmental conditions, the real-time control of PV systems is essential for exploiting their maximum possible power. This paper proposes a new method to track the maximum power point of PV systems using the moth-flame optimization algorithm. In this method, the PV DC-DC co...
متن کاملapplication of upfc based on svpwm for power quality improvement
در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولGolden Section Search Optimization Technique For Maximum Power Point Tracking
The performance of solar photovoltaic (PV) array is affected in conditions like Array tilt (optimum = latitude), Array tracking (1-axis, 2axis), Array azimuth/orientation (optimum = 180o or South), Array temperature, Array “soiling” (dust/dirt, snow, foreign matter etc.), Array shading (trees, clouds, buildings, chimneys, dormers, utility and telephone poles etc.), Array configuration, Array ag...
متن کاملComparison of golden section search method and imperialist competitive algorithm for optimization cut-off grade- case study: Mine No. 1 of Golgohar
Optimization of the exploitation operation is one of the most important issues facing the mining engineers. Since several technical and economic parameters depend on the cut-off grade, optimization of this parameter is of particular importance. The aim of this optimization is to maximize the net present value (NPV). Since the objective function of this problem is non-linear, three methods can b...
متن کاملLink Prediction using Network Embedding based on Global Similarity
Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Modern Applied Science
سال: 2018
ISSN: 1913-1852,1913-1844
DOI: 10.5539/mas.v13n1p10