نتایج جستجو برای: qpso

تعداد نتایج: 195  

Journal: :IJAPUC 2014
Yongmei Michelle Wang Wan-Ye Yao

According to economic-technical optimization objective of distribution network to which distributed generation is added, a multi-objective model is proposed in this paper. The model contains DG construction investment and operation fee, network loss, reliability, as well as environmental factor. and then puts forward the multi-objective quantum particle swarm optimization (QSPO) algorithm, and ...

2012
Adi Soeprijanto Muhammad Abdillah

Subsynchronous resonance (SSR) problems appeared due to resonance between the turbine and the series capacitor on transmission line is damped by installing superconducting magnetic energy storage (SMES) unit which the parameters are optimized by quantum behaved particle swarm optimization (QPSO). The proposed objective function is comprehensive damping index (CDI) of SSR damping. To accommodate...

Journal: :International Journal of Circuits, Systems and Signal Processing 2020

امروزه با توجه به اهمیت بالای مدیریت پایدار آب­های زیرزمینی، برای بررسی و ارزیابی منابع آب از مدل‌سازی و پیش‌بینی تراز آب­‌های زیرزمینی (GWL) استفاده می‌­شود. هدف از این پژوهش، ارزیابی عملکرد دو مدل ماشین یادگیری بیشینه (ELM) و شبکه عصبی مصنوعی (ANN) و همچنین، تلفیق آن دو مدل با الگوریتم تبدیل موجک (W-ELM و W-) است که در نهایت برای بالا بردن قدرت پیش­‌بینی و بهینه‌­کردن وزن­‌های ورودی (وزن­‌های...

2009
Zhongkai Zhao Hongyuan Gao

Based on the study of cultural algorithms and particle swarm optimization, a new method of FIR digital filters design, called cultural particle swarm optimization (CPSO) is presented in this paper. CPSO is a global convergent algorithm that can find out the global optima of the problem. The algorithm concept and implementing procedure of CPSO are described in detail. The simulation results show...

2015
Heyam Al Baity

Many real-world optimization problems have multiple objectives that have to be optimized simultaneously. In multi-objective optimization problems, the major challenge is to find the set of solutions that achieve the best compromise with regard to the whole set of objectives. Although a great deal of effort has been devoted to solving multi-objective optimization problems, the problem is still o...

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