110   Artículos

 
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
Tamás Kegyes, Alex Kummer, Zoltán Süle and János Abonyi    
We analyzed a special class of graph traversal problems, where the distances are stochastic, and the agent is restricted to take a limited range in one go. We showed that both constrained shortest Hamiltonian pathfinding problems and disassembly line bal... ver más
Revista: Information    Formato: Electrónico

 
en línea
Satoshi Warita and Katsuhide Fujita    
Recently, multi-agent systems have become widespread as essential technologies for various practical problems. An essential problem in multi-agent systems is collaborative automating picking and delivery operations in warehouses. The warehouse commission... ver más
Revista: Information    Formato: Electrónico

 
en línea
Somayeh Emami and Hossein Dehghanisanij    
The recent problems of Lake Urmia (LU) are caused by extensive and complex socio-ecological factors that require a comprehensive approach to consider the relationships between users and identify failure factors at the basin level. For this purpose, an ag... ver más
Revista: Water    Formato: Electrónico

 
en línea
Abdullahi T. Sulaiman, Habeeb Bello-Salau, Adeiza J. Onumanyi, Muhammed B. Mu?azu, Emmanuel A. Adedokun, Ahmed T. Salawudeen and Abdulfatai D. Adekale    
The particle swarm optimization (PSO) algorithm is widely used for optimization purposes across various domains, such as in precision agriculture, vehicular ad hoc networks, path planning, and for the assessment of mathematical test functions towards ben... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jiaming Li, Ning Xie and Tingting Zhao    
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xuan Liu and Daofang Chang    
In this paper, the essence and optimization objectives of the hull parts path optimization problem of CNC laser cutting are described, and the shortcomings of the existing optimization methods are pointed out. Based on the optimization problem of the hul... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Sirui Chen, Yuming Tian and Lingling An    
Order scheduling is of a great significance in the internet and communication industries. With the rapid development of the communication industry and the increasing variety of user demands, the number of work orders for communication operators has grown... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Dinh Thi Hong Huyen, Hoang Thi Thanh Ha and Michel Occello    
Emergency evacuation is of paramount importance in protecting human lives and property while enhancing the effectiveness and preparedness of organizations and management agencies in responding to emergencies. In this paper, we propose a method for evacua... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Anton Tolstikhin    
Currently, the sampling problem has gained wide popularity in the field of autonomous mobile agent control due to the wide range of practical and fundamental problems described with its framework. This paper considers a combined decentralized control str... ver más
Revista: Computation    Formato: Electrónico

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