scholarly journals Ant Colony Intelligence in Flexible Manufacturing Scheduling Using Contract-Net Model

2011 ◽  
Vol 2-3 ◽  
pp. 608-613
Author(s):  
Ying Zi Wei ◽  
Yi Jun Feng ◽  
Kan Feng Gu

This paper builds an efficient agent-based flexible scheduling for real-world manufacturing systems. Considering the alternative processes and alternative machines, the allocation of manufacturing resources is achieved through negotiation among the job and machine agents in a multi-agent system (MAS). Ant Colony Intelligence (ACI) is proposed to be combined with Contract Net Protocol (CNP) so as to make agents adaptive to changing circumstances. ACI is integrated into both machine agents and job agents to solve the task allocation and sequencing problem. CNP is introduced to allow the agents to cooperate and coordinate their local schedules in order to find globally near-optimal robust schedules. The negotiation protocol is an interactive bidding mechanism based on the hybrid contract net protocol. The implementation of the issues using CNP model is discussed. Experimental results verify the effectiveness and efficiency of the proposed algorithm integrated with ant-inspired coordination.

2007 ◽  
Vol 127 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Junichi Kodama ◽  
Tomoki Hamagami ◽  
Hiroshi Shinji ◽  
Takayuki Tanabe ◽  
Toshihisa Funabashi ◽  
...  

2009 ◽  
Vol 166 (4) ◽  
pp. 56-63 ◽  
Author(s):  
Junichi Kodama ◽  
Tomoki Hamagami ◽  
Hiroshi Shinji ◽  
Takayuki Tanabe ◽  
Toshihisa Funabashi ◽  
...  

2018 ◽  
Vol 66 (5) ◽  
pp. 438-448 ◽  
Author(s):  
Juliane Fischer ◽  
Marga Marcos ◽  
Birgit Vogel-Heuser

Abstract The rising number of product variants requires flexible manufacturing systems, including their internal material flow systems (MFSs). An approach to design MFSs reconfigurably is the use of a decentralized control based on software agents. For implementing an agent-based control approach for MFSs this paper presents a meta model describing the knowledge base of individual agents and the overall control task to be fulfilled by the MFS.


Author(s):  
Sofia Kouah ◽  
Djamel Eddine Saïdouni

For developing large dynamic systems in a rigorous manner, fuzzy labeled transition refinement tree (FLTRT for short) has been defined. This model provides a formal specification framework for designing such systems. In fact, it supports abstraction and enables fuzziness which allows a rigorous formal refinement process. The purpose of this paper is to illustrate the applicability of FLTRT for designing multi agent systems (MAS for short), among others collective and internal agent's behaviors. Therefore, Contract Net Protocol (CNP for short) is chosen as case study.


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