نتایج جستجو برای: qpso
تعداد نتایج: 195 فیلتر نتایج به سال:
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 ...
Subsynchronous Resonance Damping Using SMES Optimized by Quantum Behaved Particle Swarm Optimization
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...
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...
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...
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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