Framework of Distributed Simulation System for Multi-agent Environment

2000 ◽  
pp. 811-811
Author(s):  
Itsuki Noda
Keyword(s):  
Distributed Simulation ◽  
Simulation System ◽  
Multi Agent

A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches

2018 ◽  
Vol 63 ◽  
pp. 249-267 ◽  
Author(s):  
Shuxin Ding ◽  
Chen Chen ◽  
Bin Xin ◽  
Panos M. Pardalos
Keyword(s):  
Load Balancing ◽  
Distributed Simulation ◽  
Simulation System ◽  
Nsga Ii

scholarly journals PDES-MAS: Distributed Simulation of Multi-agent Systems

2013 ◽  
Vol 18 ◽  
pp. 671-681 ◽  
Author(s):  
Vinoth Suryanarayanan ◽  
Georgios Theodoropoulos ◽  
Michael Lees
Keyword(s):  
Distributed Simulation ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Modeling of Multi-Agent System for Drilling Simulation

2011 ◽  
Vol 383-390 ◽  
pp. 1555-1561
Author(s):  
Wu Li Wang ◽  
Yan Jiang Wang
Keyword(s):  
Simulation System ◽  
Drilling Process ◽  
Multi Agent System ◽  
Agent System ◽  
Oil Drilling ◽  
Well Control ◽  
Existing Problems ◽  
System A ◽  
Multi Agent ◽  
Drilling Simulation

In view of the characteristics of the oil drilling process and the existing problems of traditional simulation system, a new distributed drilling simulation model was established based on Multi-Agent system (MAS) technology. By means of autonomous, cooperative and reactive characteristic of Agent, the drilling laws and phenomenon can be reflected promptly and accurately under any circumstances. The MAS modeling for oil drilling simulation, the structure and knowledge representation of each Agent and the communication among Agents are described in detail. Finally, an Agent-based normal drilling well control simulation training example was given. The simulation results show that the simulator based on Multi-Agent system has better performances than traditional drilling simulators, and enhances the integrated training function of the drilling simulation system.

Simulation on the Web with distributed models and intelligent agents

SIMULATION ◽  
2012 ◽  
Vol 88 (9) ◽  
pp. 1080-1092 ◽  
Author(s):  
András Jávor ◽  
Attila Fűr
Keyword(s):  
Intelligent Agents ◽  
Distributed Simulation ◽  
Simulation System ◽  
Simulation Software ◽  
Software Systems ◽  
Web Based ◽  
Distributed Models ◽  
Adaptive Simulation ◽  
Sample Application ◽  
Great Complexity

Simulation is aimed very often to solve problems of great complexity requiring – beyond using the advanced simulation software tools – platforms that enable the implementation of such software systems. In recent years the concept of cloud computing has emerged and is being applied more and more widely for solving such problems. This paper, beyond delineating the main trends of the development of distributed simulation over a grid, especially over the Internet through Web-based applications, highlights the concepts of service-based simulation system approach. This concept gives the possibility of implementing Web- or cloud agents and other ASP system compliant simulation services based on simulation standards. As a sample application, Fuzzy Web Service is demonstrated as a part of CASSANDRA 4.0 (Cognizant Adaptive Simulation System for Applications in Numerous Different Relevant Areas) that is developed by the McLeod Institute of Simulation Sciences Hungarian Center.

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