Optimization of mine ore blending based on the fuzzy multi-objective optimum algorithm

XU Tie-jun; YANG Peng

doi:10.13374/j.issn1001-053x.2009.11.025

Volume 31 Issue 11

Aug. 2021

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XU Tie-jun, YANG Peng. Optimization of mine ore blending based on the fuzzy multi-objective optimum algorithm[J]. Chinese Journal of Engineering, 2009, 31(11): 1363-1367. doi: 10.13374/j.issn1001-053x.2009.11.025

Citation:

XU Tie-jun, YANG Peng. Optimization of mine ore blending based on the fuzzy multi-objective optimum algorithm[J]. Chinese Journal of Engineering, 2009, 31(11): 1363-1367. doi: 10.13374/j.issn1001-053x.2009.11.025

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Optimization of mine ore blending based on the fuzzy multi-objective optimum algorithm

doi: 10.13374/j.issn1001-053x.2009.11.025

Key Lab of Efficient Mining and Safety for Metal Mines, Ministry of Education of China, Beijing 100083, China

Received Date: 2008-11-28
Available Online: 2021-08-09

Abstract

Abstract

The problem of fuzzy multi-objective ore blending was put forward. According to the linguistic preference information of managers and the satisfaction degree of decision makers, a fuzzy multi-objective optimum algorithm was designed to effectively deal with ore blending optimization. The algorithm was modified from optimum and importance models, and had the characteristics of effectiveness, flexibility, and sensitivity, which were verified by different ore blending needs of a certain mine.
- multi-objective programming,
- ore blending,
- fuzzy optimization,
- satisfaction degree