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Xiaoyu Liu and Xiang Zhang
In order to enhance the accuracy of the traditional extended Kalman filter (EKF) algorithm in the estimation of the state of charge (SoC) of power batteries, we first derived the state space equation and measurement equation of lithium power batteries ba...
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Sungjin Park and Sangkyun Kim
Clustering is widely used in client-facing businesses to categorize their customer base and deliver personalized services. This study proposes an algorithm to stochastically search for an optimum solution based on the outcomes of a data clustering proces...
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Sajad Sabzi, Razieh Pourdarbani, Davood Kalantari and Thomas Panagopoulos
The first step in identifying fruits on trees is to develop garden robots for different purposes such as fruit harvesting and spatial specific spraying. Due to the natural conditions of the fruit orchards and the unevenness of the various objects through...
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Minh Quan Duong, Thai Dinh Pham, Thang Trung Nguyen, Anh Tuan Doan and Hai Van Tran
This paper presents an effective biogeography-based optimization (BBO) for optimal location and sizing of solar photovoltaic distributed generation (PVDG) units to reduce power losses while maintaining voltage profile and voltage harmonic distortion at t...
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Juan Luis Templos-Santos, Omar Aguilar-Mejia, Edgar Peralta-Sanchez and Raul Sosa-Cortez
This article focuses on the optimal gain selection for Proportional Integral (PI) controllers comprising a speed control scheme for the Permanent Magnet Synchronous Motor (PMSM). The gains calculation is performed by means of different algorithms inspire...
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Hossein Moayedi, Bahareh Kalantar, Loke Kok Foong, Dieu Tien Bui and Alireza Motevalli
Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of concrete slump prediction. Two we...
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Yasser Kareem AlRikabi
Pág. 3167 - 3178
Extending the lifetime of the energy constrained wireless sensor networks is a crucial challenge in wireless sensor networks (WSNs) research. When designing a WSN infrastructure Resource limitations have to be taken into account. The inherent problem in ...
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Siling Feng, Ziqiang Yang and Mengxing Huang
In order to improve the performance of optimization, we apply a hybridization of adaptive biogeography-based optimization (BBO) algorithm and differential evolution (DE) to multi-objective optimization problems (MOPs). A model of multi-objective evolutio...
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Gaige Wang, Lihong Guo, Hong Duan, Luo Liu and Heqi Wang
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