scholarly journals Ant colony optimization for the single model U-type assembly line balancing problem

2009 ◽  
Vol 120 (2) ◽  
pp. 287-300 ◽  
Author(s):  
Ihsan Sabuncuoglu ◽  
Erdal Erel ◽  
Arda Alp
2012 ◽  
Vol 159 ◽  
pp. 51-55 ◽  
Author(s):  
Qiao Xian Zheng ◽  
Yuan Xiang Li ◽  
Ming Li ◽  
Qiu Hua Tang

An improvement ant colony optimization(ACO) is proposed to solve the simple assembly line balancing problem of type-1 (SALBP-1) which aims to minimize the number of workstations for a given cycle time of assembly line. In the algorithm, three heuristic factors and two pheromones: (1) the pheromone between task and station, (2) the pheromone among tasks, are introduced to design the selection mechanism which is used to select task for station. The task assignment mechanism is proposed to assign suitable tasks to station. Ants select task based on selection mechanism, and then assign suitable one to station according to assignment mechanism. The result of literature test problems indicates the effectiveness of the proposed algorithm.


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