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Yuanyuan Wei, Nan Jiang, Ziwei Li, Dongdong Zheng, Minjie Chen and Miaomiao Zhang
Adding new lines on the basis of the existing public transport network is an important way to improve public transport operation networks and the quality of urban public transport service. Aiming at the problem that existing routes are rarely considered ...
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Ruiwei Liu, Siqi Hao, Yaping Zhang, Chonghang Xu, Wenjing Li and Yunrui Mo
Generally, air track planning is conducted in real time and takes modified track distance minimization as objective. Next-generation air transport systems provide aircrafts with more flexibility in track planning and more responsibilities in self-separat...
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Xingxing Xiao and Haining Huang
Because of the complicated underwater environment, the efficiency of data transmission from underwater sensor nodes to a sink node (SN) is faced with great challenges. Aiming at the problem of energy consumption in underwater wireless sensor networks (UW...
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Xuan Ye, Lan Luo, Li Hou, Yang Duan and Yang Wu
Coverage path planning on a complex free-form surface is a representative problem that has been steadily investigated in path planning and automatic control. However, most methods do not consider many optimisation conditions and cannot deal with complex ...
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Kaiming Xu, Jianjun Wu, Tengchao Huang and Lei Liang
The ant colony algorithm has been widely used in the field of data analysis of smart cities. However, the research of the traditional ant colony algorithm is more focused on one-to-one scenarios and there is insufficient research on many-to-one scenarios...
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Shuzhen Yang, Bocai Jia, Tao Yu and Jin Yuan
In view of the difficulties of fruit cluster identification, the specific harvesting sequence constraints of aggregated fruits, and the balanced harvesting task assignment for the multiple arms with a series-increasing symmetric shared (SISS) region, thi...
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Jicheng Yang, Letian Wu and Jian Zheng
Ship weather routing has always been an important issue in the research field of navigation, and many scholars have been devoted to this research for a long time. To study the route strategies of different shipping companies, this paper proposes an impro...
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Muhammad Shafiq, Zain Anwar Ali, Amber Israr, Eman H. Alkhammash and Myriam Hadjouni
This research offers an improved method for the self-organization of a swarm of UAVs based on a social learning approach. To start, we use three different colonies and three best members i.e., unmanned aerial vehicles (UAVs) randomly placed in the coloni...
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Derry Pramono Adi, Lukman Junaedi, Frismanda, Agustinus Bimo Gumelar, Andreas Agung Kristanto
Pág. 60 - 74
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection...
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Linfan Liu, Huajun Zhang, Jupeng Xie and Qin Zhao
The emergency evacuation route planning of cruise ships directly affects the safety of all crew members and passengers during emergencies. Research on the planning of emergency evacuation routes for cruise ships is a frontier subject of maritime safety. ...
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Zheping Yan, Weidong Liu, Wen Xing and Enrique Herrera-Viedma
How an autonomous underwater vehicle (AUV) performs fully automated task allocation and achieves satisfactory mission planning effects during the search for potential threats deployed in an underwater space is the focus of the paper. First, the task assi...
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Fakhar Uddin, Naveed Riaz, Abdul Manan, Imran Mahmood, Oh-Young Song, Arif Jamal Malik and Aaqif Afzaal Abbasi
The travelling salesman problem (TSP) is perhaps the most researched problem in the field of Computer Science and Operations. It is a known NP-hard problem and has significant practical applications in a variety of areas, such as logistics, planning, and...
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Nguyen Duy Tan, Duy-Ngoc Nguyen, Hong-Nhat Hoang and Thi-Thu-Huong Le
The Internet of Things (IoT) integrates different advanced technologies in which a wireless sensor network (WSN) with many smart micro-sensor nodes is an important portion of building various IoT applications such as smart agriculture systems, smart heal...
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Xiaojun Li, Weibing Wang, Ganghui Liu, Runze Li and Fei Li
In greenhouse nurseries, one of the important tasks of the automatic transplanter is replanting missing or bad seedling holes with healthy seedlings. This requires the transplanter to spend significant time moving between the supply trays and target tray...
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Issam Al-Azzoni, Julian Blank and Nenad Petrovic
The underlying infrastructure paradigms behind the novel usage scenarios and services are becoming increasingly complex?from everyday life in smart cities to industrial environments. Both the number of devices involved and their heterogeneity make the al...
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Yang Zhang, Guoyong Zhang, Huihui Zhao, Yuming Cao, Qinhuo Liu, Zhanfeng Shen and Aimin Li
In a district heating engineering project, the design of the heating route is an indispensable but laborious process. This paper proposes a planning indicator to measure the suitability of a candidate heating route, and provides an intelligent method and...
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Jiarui Zhang, Gang Wang and Yafei Song
Background: The existing contract net protocol has low overall efficiency during the bidding and release period, and a large amount of redundant information is generated during the negotiation process. Methods: On the basis of an ant colony algorithm, th...
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Sara Pérez-Carabaza, Akemi Gálvez and Andrés Iglesias
Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant System (AS), several ACO variants have been proposed in the literature. Owing t...
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