Title :
Optimization for Grain Gradation of Monolithic Refractory Based on Ant Colony Algorithm
Author :
Ling, Qin ; Zhi, Li
Author_Institution :
Dept. of Electr. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
Abstract :
An optimization model for grain gradation of monolithic refractory is purposed on the basis of close packing theory and field production situation. Through applying ant colony algorithms, an optimization strategy concerning grain gradation of monolithic refractory is presented. The simulation results show that our method conforms to the requirements of actual productive technology, and the optimized results are very close to their theoretic values of the grain size distribution calculated by using.
Keywords :
grain size; metallurgical industries; optimisation; refractories; ant colony algorithm; close packing theory; field production situation; grain gradation; monolithic refractory; optimization strategy; productive technology; Grain size; Mathematical model; Optimization; Production; Raw materials; Search problems; Shape; Ant colony algorithms; Close packing; Grain gradation; Monolithic refractoriness; Optimization simulation;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.356
