Ant Colony Optimization and image model-based robot manipulator system for pick-and-place tasks

2019 ◽  
Vol 36 (2) ◽  
pp. 1083-1098
Author(s):  
Ching-Chang Wong ◽  
Hsuan-Ming Feng ◽  
Yu-Cheng Lai ◽  
Chia-Jun Yu
Keyword(s):  
Ant Colony Optimization ◽  
Robot Manipulator ◽  
Ant Colony ◽  
Image Model ◽  
Model Based ◽  
Pick And Place

A Roadbed Earthwork Allocation Model Based on ACO Algorithm

2010 ◽  
Vol 44-47 ◽  
pp. 3483-3486 ◽  
Author(s):  
Kun Miao ◽  
Xing Sun ◽  
Liang Li
Keyword(s):  
Ant Colony Optimization ◽  
Ant Colony ◽  
Discrete Events ◽  
Allocation Model ◽  
Allocation Efficiency ◽  
Manual Method ◽  
Model Based ◽  
The Earth ◽  
Discrete Events Systems ◽  
Cut And Fill

A new optimized highway earthwork allocation model from mass-haul diagram idea is built in this study. A mass-haul diagram is a kind of traditional manual method, but it is visualized and convenient for earthwork allocation. With it, the earth moving operations can be represented as discrete events systems, and an ant colony optimization (ACO) algorithm is developed as a system to be equipped with the model. It was shown that the model developed in this study was effective and could increase earthwork allocation efficiency. The model can compute cut and fill quantities and generate the optimal earthmoving plan automatically.

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