Integrated Design for Assembly Approach Using Ant Colony Optimization Algorithm for Optimal Assembly Sequence Planning

2018 ◽  
pp. 249-259 ◽  
Author(s):  
G. Bala Murali ◽  
B. B. V. L. Deepak ◽  
B. B. Biswal ◽  
Bijaya Kumar Khamari
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Integrated Design ◽  
Assembly Sequence Planning ◽  
Ant Colony ◽  
Design For Assembly ◽  
Assembly Sequence ◽  
Ant Colony Optimization Algorithm ◽  
Sequence Planning ◽  
Optimal Assembly

Assembly Sequence Planning Utilizing Chaotic Adaptive Ant Colony Optimization Algorithm

2010 ◽  
Vol 26-28 ◽  
pp. 391-396 ◽  
Author(s):  
Yong Wang ◽  
Tian De ◽  
Ji Hong Liu
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Evaporation Rate ◽  
Assembly Sequence Planning ◽  
Ant Colony ◽  
Assembly Sequence ◽  
Ant Colony Optimization Algorithm ◽  
Assembly Sequences ◽  
Mechanical Products ◽  
Optimal Assembly

The chaotic adaptive ant colony optimization algorithm (CAACO) is proposed to seek the optimal or near-optimal assembly sequences of mechanical products. Different from the general AACO algorithm, the parameter denoting the global evaporation rate of the AACO algorithm is not specified by the designers, but is generated with the chaotic operators in the optimization process. An example is used to validate the capability of the CAACO algorithm, and the results show that the robustness of the CAACO algorithm is enhanced and more ants in the ant colony can find their own optimal or near-optimal assembly sequences than those of the general AACO algorithm.

Assembly Sequence Planning Based on Connector Structure and Ant Colony Algorithm

2013 ◽  
Vol 712-715 ◽  
pp. 2482-2486 ◽  
Author(s):  
Ying Ying Su ◽  
Hai Dong ◽  
Di Liang
Keyword(s):  
Ant Colony Algorithm ◽  
Assembly Sequence Planning ◽  
Precedence Constraint ◽  
Ant Colony ◽  
Ant Algorithm ◽  
Assembly Sequence ◽  
Sequence Planning ◽  
Assembly Sequences ◽  
Assembly Unit ◽  
Optimal Assembly

For the purpose of effectively reducing the degree of complexity and improving the efficiency, the method of assembly sequence planning based on connector structure and ant algorithm was proposed. The concept of connector structure was presented, which was regarded as basic assembly unit to cover features of assembly parts. Then, a model of assembly sequence planning was built, which represented the precedence constraint relationship among connector structures. Additionally, the combination of the connector structure concept and characteristics of ant colony algorithm was developed for generating optimal assembly sequences under the guidance of precedence relations in the model. Finally, an example was studied to illustrate the effectiveness of the strategy.

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