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

Volume

2

fYear

2009

fDate

24-26 April 2009

Firstpage

773

Lastpage

776

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3605-7

Type

conf

DOI

10.1109/CSO.2009.411

Filename

5194061