Self-Optimizing A Multi-Agent Scheduling System: A Racing Based Approach

2015 ◽  
pp. 275-284
Author(s):  
Ivo Pereira ◽  
Ana Madureira
Keyword(s):  
Scheduling System ◽  
System A ◽  
Agent Scheduling ◽  
Multi Agent

Negotiation Protocol Based on Budget Approach for Adaptive Manufacturing Scheduling

2012 ◽  
pp. 35-58
Author(s):  
Paolo Renna ◽  
Rocco Padalino
Keyword(s):  
Manufacturing Systems ◽  
Financial Asset ◽  
Simulation Environment ◽  
Decentralized System ◽  
Dynamic Conditions ◽  
Negotiation Protocol ◽  
Manufacturing Operations ◽  
System A ◽  
Agent Scheduling ◽  
Multi Agent

The research proposed concerns the development of a multi-agent scheduling approach able to support manufacturing systems in different dynamic conditions. The negotiation protocol defined budget approach is based on a financial asset that each part obtains when it is released into the manufacturing system for processing. The part spends the budget to perform the manufacturing operations by the workstations; the virtual market in which part agent and workstation agents coordinate the decentralized system. A fuzzy tool is proposed to assign the budget to each part based on the objectives pursued. A simulation environment based on Rockwell ARENA® platform has been developed in order to test the proposed approach. The simulations are used to compare the proposed approach with classical dynamical scheduling approaches proposed in literature. The results show how the proposed approach leads to better results, and it can be selective among the different priority of the parts.

A Multi-Agent Based Scheduling System: A Co-Operative and Reactive Approach

1998 ◽  
Vol 31 (15) ◽  
pp. 673-678 ◽  
Author(s):  
Erwan Tranvouez ◽  
Bernard Espinasse ◽  
Jean-Paul Chirac
Keyword(s):  
Agent Based ◽  
Scheduling System ◽  
System A ◽  
Multi Agent

Negotiation Protocol Based on Budget Approach for Adaptive Manufacturing Scheduling

2012 ◽  
pp. 1517-1538
Author(s):  
Paolo Renna ◽  
Rocco Padalino
Keyword(s):  
Manufacturing Systems ◽  
Financial Asset ◽  
Simulation Environment ◽  
Decentralized System ◽  
Dynamic Conditions ◽  
Negotiation Protocol ◽  
Manufacturing Operations ◽  
System A ◽  
Agent Scheduling ◽  
Multi Agent

The research proposed concerns the development of a multi-agent scheduling approach able to support manufacturing systems in different dynamic conditions. The negotiation protocol defined budget approach is based on a financial asset that each part obtains when it is released into the manufacturing system for processing. The part spends the budget to perform the manufacturing operations by the workstations; the virtual market in which part agent and workstation agents coordinate the decentralized system. A fuzzy tool is proposed to assign the budget to each part based on the objectives pursued. A simulation environment based on Rockwell ARENA® platform has been developed in order to test the proposed approach. The simulations are used to compare the proposed approach with classical dynamical scheduling approaches proposed in literature. The results show how the proposed approach leads to better results, and it can be selective among the different priority of the parts.

The Design of Logistics Vehicle Scheduling System Based on Agent

2014 ◽  
Vol 530-531 ◽  
pp. 952-955
Author(s):  
Jian Yuan Feng
Keyword(s):  
Unified Modeling Language ◽  
Hybrid Genetic Algorithm ◽  
Scheduling System ◽  
Unified Modeling ◽  
Server Side ◽  
Development Framework ◽  
Agent Scheduling ◽  
Multi Agent ◽  
Set Up ◽  
Agent Development

We studied the logistics vehicle scheduling.We have used Unified Modeling Language (UML) for modeling and java agent development framework (JADE) to realize the Agent server-side interactive collaboration features and set up multi-Agent scheduling platform,and have also used the hybrid genetic algorithm to optimize the scheduling task. Through testing examples as well as the combination use of MATLAB and Visual C+ +, the vehicle Gantt chart has been generated to inspect the performance of optimization algorithm.

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