Implementation of Ant Colony Algorithm Based-On Multi-agent System

2005 ◽  
pp. 1234-1242 ◽  
Author(s):  
Jian-min He ◽  
Rui Min ◽  
Yuan-yuan Wang
Keyword(s):  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

A Resource Allocation Model of Logistics Services Supply Chain for Multi-Agent Based on Ant Colony Algorithm

2012 ◽  
Vol 157-158 ◽  
pp. 189-192
Author(s):  
Bin Yang ◽  
Chun Xiao Li ◽  
Yi Bing Zhang ◽  
Wei Kong
Keyword(s):  
Resource Allocation ◽  
Supply Chain ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Multi Agent System ◽  
Allocation Model ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Logistics Services ◽  
Multi Agent

In the logistics service supply chain based on Multi-Agent system, it is a combinatorial optimization problem possessing highly complexity and dynamic uncertainty to allocate the resources of various logistics companies. Therefore, in this paper, ant colony algorithm is introduced to the Multi-Agent System, and we establish a resource allocation model based on ant colony algorithm for logistics service supply chain in view of Multi-Agent. In the model, ants are replaced by agents. At the end, the paper realizes the optimization of logistics services supply chain.

Path Planning with the Use of Artificial Ant Colony Algorithm

2013 ◽  
Vol 198 ◽  
pp. 114-119
Author(s):  
Stanislav Vĕchet ◽  
Tomas Ripel
Keyword(s):  
State Space ◽  
Ant Colony Algorithm ◽  
Random Trees ◽  
Ant Colony ◽  
Multi Agent System ◽  
Artificial Agent ◽  
Simulation Experiments ◽  
Agent Systems ◽  
Multi Agent ◽  
Present Simulation

Finding a way through an unexplored environment belongs to actual problems in many artificial agent systems. Common algorithms as state-space searching or rapidly exploring random trees are used when the map of given environment is known. In this paper we present simulation experiments with multi agent system represented as artificial ant colony.

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