126   Artículos

 
en línea
Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni and Italo Zoppis    
Solving combinatorial problems on complex networks represents a primary issue which, on a large scale, requires the use of heuristics and approximate algorithms. Recently, neural methods have been proposed in this context to find feasible solutions for r... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zheng Zhao, Jialing Yuan and Luhao Chen    
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Esra?a Alkafaween, Ahmad Hassanat, Ehab Essa and Samir Elmougy    
The genetic algorithm (GA) is a well-known metaheuristic approach for dealing with complex problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in the initial population is important in determining the final optimal ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chuanwei Zhang, Xinyue Yang, Rui Zhou and Zhongyu Guo    
In order to solve the problem of low safety and efficiency of underground mine vehicles, a path planning method for underground mine vehicles based on an improved A star (A*) and fuzzy control Dynamic Window Approach (DWA) is proposed. Firstly, the envir... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chang Guo, Jianfeng Zhu and Xiaoming Wang    
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xin Liao and Khoi D. Hoang    
Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely used in multi-agent collaborative modeling. The traditional DCOP framework assumes that variables are discrete and constraint utilities are represented in tabular form... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nikola Ivkovic, Robert Kudelic and Marin Golub    
Ant colony optimization (ACO) is a well-known class of swarm intelligence algorithms suitable for solving many NP-hard problems. An important component of such algorithms is a record of pheromone trails that reflect colonies? experiences with previously ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
M. S. Shyam Sunder, Vinay Anand Tikkiwal, Arun Kumar and Bhishma Tyagi    
Aerosols play a crucial role in the climate system due to direct and indirect effects, such as scattering and absorbing radiant energy. They also have adverse effects on visibility and human health. Humans are exposed to fine PM2.5, which has adverse hea... ver más
Revista: AI    Formato: Electrónico

 
en línea
Thanaa Saad AlSalem and Majed Aadi AlShamari    
Nowadays, e-commerce websites have become part of people?s daily lives; therefore, it has become necessary to seek help in assessing and improving the usability of the services of e-commerce websites. Essentially, usability studies offer significant info... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Jia Song, Kai Zhao and Yang Liu    
The task assignment issue and the path planning problem of Multiple Unmanned Aerial Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP). This review article provides an update on the progress of the MPP on Multi-UAV. F... ver más
Revista: Aerospace    Formato: Electrónico

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