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  • Open Access

    ARTICLE

    Optimal Dynamic Voltage Restorer Using Water Cycle Optimization Algorithm

    Taweesak Thongsan, Theerayuth Chatchanayuenyong*

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 595-623, 2023, DOI:10.32604/csse.2023.027966

    Abstract This paper proposes a low complexity control scheme for voltage control of a dynamic voltage restorer (DVR) in a three-phase system. The control scheme employs the fractional order, proportional-integral-derivative (FOPID) controller to improve on the DVR performance in order to enhance the power quality in terms of the response time, steady-state error and total harmonic distortion (THD). The result obtained was compared with fractional order, proportional-integral (FOPI), proportional-integral-derivative (PID) and proportional-integral (PI) controllers in order to show the effectiveness of the proposed DVR control scheme. A water cycle optimization algorithm (WCA) was utilized to find the optimal set for all… More >

  • Open Access

    ARTICLE

    An Artificial Intelligence Approach for Solving Stochastic Transportation Problems

    Prachi Agrawal1, Khalid Alnowibet2, Talari Ganesh1, Adel F. Alrasheedi2, Hijaz Ahmad3, Ali Wagdy Mohamed4,5,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 817-829, 2022, DOI:10.32604/cmc.2022.019685

    Abstract Recent years witness a great deal of interest in artificial intelligence (AI) tools in the area of optimization. AI has developed a large number of tools to solve the most difficult search-and-optimization problems in computer science and operations research. Indeed, metaheuristic-based algorithms are a sub-field of AI. This study presents the use of the metaheuristic algorithm, that is, water cycle algorithm (WCA), in the transportation problem. A stochastic transportation problem is considered in which the parameters supply and demand are considered as random variables that follow the Weibull distribution. Since the parameters are stochastic, the corresponding constraints are probabilistic. They… More >

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