A new strategy to solve the traveling salesman problem with a multi-agent system

2019 ◽  
Author(s):  
Chen Yang
Keyword(s):  
Traveling Salesman Problem ◽  
Traveling Salesman ◽  
Multi Agent System ◽  
Agent System ◽  
New Strategy ◽  
Multi Agent ◽  
The Traveling Salesman Problem

scholarly journals Formal modelling and verification of a multi-agent negotiation approach for airline operations control

2021 ◽  
Author(s):  
Soufiane Bouarfa ◽  
Reyhan Aydoğan ◽  
Alexei Sharpanskykh
Keyword(s):  
Disruption Management ◽  
System Modelling ◽  
Multi Agent System ◽  
Airline Operations ◽  
Agent System ◽  
Formal Modelling ◽  
Agent Negotiation ◽  
New Strategy ◽  
Operations Control ◽  
Multi Agent

AbstractThis paper proposes and evaluates a new airline disruption management strategy using multi-agent system modelling, simulation, and verification. This new strategy is based on a multi-agent negotiation protocol and is compared with three airline strategies based on established industry practices. The application concerns Airline Operations Control whose core functionality is disruption management. To evaluate the new strategy, a rule-based multi-agent system model of the AOC and crew processes has been developed. This model is used to assess the effects of multi-agent negotiation on airline performance in the context of a challenging disruption scenario. For the specific scenario considered, the multi-agent negotiation strategy outperforms the established strategies when the agents involved in the negotiation are experts. Another important contribution is that the paper presents a logic-based ontology used for formal modelling and analysis of AOC workflows.

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent
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