Determining Minimum and Maximum Number of Agents Required for Planar Cable-Suspended Aerial Manipulation

2016 ◽  
Author(s):  
Henry Hung ◽  
Niteesh Sood ◽  
Koushil Sreenath
Keyword(s):  
Maximum Velocity ◽  
Suspended Load ◽  
Optimal Selection ◽  
Multi Agent System ◽  
Aerial Manipulation ◽  
Agent System ◽  
Multi Agent ◽  
Selection Of ◽  
Load Mass

This paper proposes a method for optimal selection of number of agents in a cooperative multi-agent system for dynamic aerial transportation of a cable-suspended load along a desired trajectory. We consider the system of n planar quadrotors with a cable suspended load, show that this system is differentially flat, and study the effect of varying the number of quadrotors, load and quadrotor masses, on the maximum velocity of the load trajectory and minimum thrust required. We determine the minimum (maximum) number of agents required for traversing a load trajectory for various values of the load mass.

Supplier Selection of Multi-Agent Logistic System

2011 ◽  
Vol 467-469 ◽  
pp. 614-619
Author(s):  
Chang Hui Yang
Keyword(s):  
Data Mining ◽  
Supplier Selection ◽  
Web Server ◽  
Quick Response ◽  
Multi Agent System ◽  
Agent System ◽  
Related Data ◽  
Multi Agent ◽  
Selection Of

Choosing supplier with better quick response ability becomes more and more important. In this paper, the criterion of evaluating supplier is put forward and a method of evaluating supplier is introduced. To improve the efficiency of selecting supplier, a multi-agent system of supplier selection based on evaluating supplier is developed. Recurring to the supplier’s related data collected by data-mining agent from external web-server, the weights of criteria can be confirmed. And using the system, the supplier with better QRA can be selected based on the measuring results.

Customer Orientation Based Multi-Agent Negotiation for B2C e-Commerce

2010 ◽  
Vol 2 (2) ◽  
pp. 24-48 ◽  
Author(s):  
Bireshwar Dass Mazumdar ◽  
R. B. Mishra
Keyword(s):  
Organizational Culture ◽  
Computational Model ◽  
Customer Orientation ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Negotiation ◽  
Crucial Component ◽  
Multi Agent ◽  
Selection Of

The Multi Agent System (MAS) model has been extensively used in different e-commerce tasks. Customer orientation is a crucial component of organizational culture and attention to information about customers’ needs should be considered a firm’s most basic value. In this paper, the authors evaluate a seller agent’s various cognitive parameters, such as capability, trust, and desire. The authors also examine customer orientation value for a pair of buyer and seller agents, such as selecting a seller and buyer agent pair using mental and cognitive parameters, customer orientation value for their mutual benefits, and the competitive negotiation factor. The authors provide a deterministic customer orientation computational model, a competitive negotiation computational model between buyer agent and seller agent, and a logical computational model for selection of the best buyer-seller agent pair. With the help of GUI intermediate, final results are shown.

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