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Optimization of size of PV/wind/biodiesel by using Artificial Bee Colony (ABC) algorithm

机译:利用人工蜂群算法优化光伏/风能/生物柴油的尺寸

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The objective of this work is to have minimum cost of the overall hybrid system so that accordingly the ratings of the different components can be considering to draw the Model in MATLAB/SIMULINK as per the required load. In order to optimize, evolutionary computation is used. An algorithm Artificial Bee Colony (ABC) combination of artificial intelligent and soft computation, based on the intelligent foraging behavior of honey bee swarm, is used to minimized the cost. In scientific language, they used to solve the error based on populations.
机译:这项工作的目的是使整个混合系统的成本降至最低,以便相应地考虑不同组件的额定值,以便根据所需负载在MATLAB / SIMULINK中绘制模型。为了优化,使用进化计算。基于蜜蜂群的智能觅食行为,将人工智能与软计算相结合的算法“人工蜂群”(ABC)用于将成本降到最低。用科学语言,他们过去常常根据总体来解决错误。

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