Optimization for manufacturing system based on Pheromone

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Lei Wang 1,* Dunbing Tang 2

1. College of Mechanical & Automotive Engineering, Anhui Polytechnic University, Wuhu, China

2. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2011.03.03

Received: 8 Jul. 2010 / Revised: 20 Nov. 2010 / Accepted: 19 Jan. 2011 / Published: 8 Jun. 2011

Index Terms

Pheromone, Allocation Model, Coordination, Task allocation


A new optimization approach, called pheromone, which comes from the collective behavior of ant colonies for food foraging is proposed to optimize task allocation. These ants spread pheromone information and make global information available locally; thus, an ant agent only needs to observe its local environment in order to account for nonlocal concerns in its decisions. This approach has the capacity for task allocation model to automatically find efficient routing paths for processing orders and to reduce communication overhead, which exists in contract net protocol, in shop floor control system. An example confirms that a pheromone-based optimization approach has an excellent allocation performance in shop floor.

Cite This Paper

Lei Wang, Dunbing Tang, "Optimization for manufacturing system based on Pheromone", International Journal of Information Technology and Computer Science(IJITCS), vol.3, vo.3, pp.15-21, 2011. DOI:10.5815/ijitcs.2011.03.03


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