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V. M. Pakhomova,D. I. Nazarova
Pág. 60 - 73
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Dian Najihah Abu Talib, Hazlie Mokhlis, Mohamad Sofian Abu Talip, Kanendra Naidu and Hadi Suyono
Common power system restoration planning strategy is based on a ‘build up’ approach, where a blackout system is sectionalized among several islands for parallel restoration prior to resynchronization. In order to speed up the resynchronizatio...
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Chandra Agung, Natalia Christine
Pág. 69 - 75
The subject of this research is distance and time of several city tour problems which known as traveling salesman problem (tsp). The goal is to find out the gaps of distance and time between two types of optimization methods in traveling salesman problem...
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Guozhe Yang, Qingze Tan, Zhiqiang Tian, Xingyu Jiang, Keqiang Chen, Yitao Lu, Weijun Liu and Peisheng Yuan
To cope with the problems of poor matching between processing characteristics and manufacturing resources, low production efficiency, and the hard-to-meet dynamic and changeable model requirements in multi-variety and small batch aerospace enterprises, a...
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Weicheng Sun, Wenchuan Zang, Chao Liu, Tingting Guo, Yunli Nie and Dalei Song
Underwater gliders are prevailing in oceanic observation nowadays for their flexible deployment and low cost. However, the limited onboard energy constrains their application, hence the motion pattern optimization and energy analysis are the key to maxim...
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Xingping Sun, Chang Chen, Lu Wang, Hongwei Kang, Yong Shen and Qingyi Chen
Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research. Establishing an effective Ba...
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Wen Cao, Jiaqi Xu, Yong Zhang, Siqi Zhao, Chu Xu and Xiaofeng Wu
The artificial bee colony algorithm (ABC) is a promising metaheuristic algorithm for continuous optimization problems, but it performs poorly in solving discrete problems. To address this issue, this paper proposes a hybrid discrete artificial bee colony...
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Pijush Samui, Nhat-Duc Hoang, Viet-Ha Nhu, My-Linh Nguyen, Phuong Thao Thi Ngo and Dieu Tien Bui
In the design phase of housing projects, predicting the settlement of soil layers beneath the buildings requires the estimation of the coefficient of soil compression. This study proposes a low-cost, fast, and reliable alternative for estimating this soi...
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Michal Berlinski, Eryk Warchulski and Stanislaw Kozdrowski
This paper presents a logistics problem, related to the transport of goods, which can be applied in practice, for example, in postal or courier services. Two mathematical models are presented as problems occurring in a logistics network. The main objecti...
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Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro and Arno Eichberger
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle?s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics an...
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Sibel Arslan and Celal Ozturk
Texture classification aims to identify textures using few samples. Local Binary Pattern (LBP) and GP-descriptor are most used texture classification algorithms. Artificial Bee Colony Programming-Descriptor (ABCP-Descriptor) evaluates samples to extract ...
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Carol Cabrera,Gloria Montenegro
Pág. 223 - 230
Bee pollen is a product from beehives that is contained in corbiculae, generally monospecific and is currently considered as a functional food due to its nutritional and medicinal properties. This study investigates the antimicrobial activity of a Chilea...
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Dorota Derewiaka, Ewa Majewska and Paulina Pruszkowska
The aim of this paper was to conduct a comparative analysis of rapeseed honeys enriched with various bee products: propolis (1%), bee bread (2%), and bee pollen (5%). The parameters examined included water content, electrical conductivity, pH, free acid ...
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Shitu Chen, Ling Feng, Xuteng Bao, Zhe Jiang, Bowen Xing and Jingxiang Xu
Path planning is crucial for unmanned surface vehicles (USVs) to navigate and avoid obstacles efficiently. This study evaluates and contrasts various USV path-planning algorithms, focusing on their effectiveness in dynamic obstacle avoidance, resistance ...
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Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga...
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Qibing Jin, Nan Lin and Yuming Zhang
K-Means Clustering is a popular technique in data analysis and data mining. To remedy the defects of relying on the initialization and converging towards the local minimum in the K-Means Clustering (KMC) algorithm, a chaotic adaptive artificial bee colon...
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Weijia Chen and Yancai Xiao
The Ensemble Empirical Mode Decomposition (EEMD) algorithm has been used in bearing fault diagnosis. In order to overcome the blindness in the selection of white noise amplitude coefficient e in EEMD, an improved artificial bee colony algorithm (IABC) is...
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Shouwen Chen
Motivated by concepts in quantum mechanics and particle swarm optimization (PSO), quantum-behaved particle swarm optimization (QPSO) was proposed as a variant of PSO with better global search ability. In this paper, a QPSO with weighted mean personal bes...
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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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Abdu Salam, Qaisar Javaid, Masood Ahmad, Ishtiaq Wahid and Muhammad Yeasir Arafat
Multiple unmanned aerial vehicles (UAVs) are organized into clusters in a flying sensor network (FSNet) to achieve scalability and prolong the network lifetime. There are a variety of optimization schemes that can be adapted to determine the cluster head...
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