Spiral conveyor optimization design method based on ant colony algorithm

• Main Authors: XUE YUKUN, WANG KANG, MEI XIAO
• Format: Patent
• Language: Chinese; English
• Published: 19.02.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses an ant colony algorithm-based screw conveyor structure optimization design method, which comprises the following steps of: by taking the lightest mass and the maximum conveyingefficiency of a screw conveyor as optimization objectives, firstly, establishing a screw conveyor structure optimization mathematical model which takes the lightest mass and the maximum conveying efficiency of the screw conveyor as constraint conditions; determining a design variable and a constraint condition in combination with the structure of the spiral conveyor; searching a global optimal solution of the ant colony position and pheromone concentration by adopting an ant colony algorithm; outputting a globally optimal solution when an end condition is met; and finally obtaining an optimaldesign scheme of the screw conveyor by using the obtained global optimal solution to correspond to the design parameters corresponding to the screw conveyor. The method provided by the invention is simple to operate, the desi