Title :
A Fuzzy Multi-objective Optimization Algorithm in Mine Ore Blending
Author :
Li, Liang ; Xu, Tiejun ; Liu, Zhiqiang
Author_Institution :
Univ. of Sci. & Technol., Beijing, China
Abstract :
The paper, based on the fuzzy question of the multi-objective ore blending, firstly, gives the solving analysis of its characteristics and complication. Then, the two-step fuzzy optimization algorithm is designed based on the sequence of linguistic satisfaction. The algorithm places weight on the improvement of optimality and importance model. Ultimately, a simulation study is conducted through a mine ore blending example. The effectiveness, flexibility, and sensitivity of algorithm are verified. Which overcome the solving difficulty in applying the multi-objective planning to the ore blending, and a practical, great universal method or means for the ore blending is explored.
Keywords :
blending; fuzzy set theory; minerals; mining industry; optimisation; production planning; fuzzy multiobjective optimization algorithm; linguistic satisfaction; mine ore blending; multiobjective planning; simulation study; universal method; Algorithm design and analysis; Computer Society; Design optimization; Electronic mail; Mathematical model; Optimization methods; Ores; Paper technology;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.411
