A new paper in the InfoMine Library is by Bascetin Atac of the Mining engineering Department of the Istanbul University. In his paper A New Approach for Decision Making Based Genetic Algorithm in Mining Operations, he describes the use of fuzzy logic methods to select the optimal loading-hauling system for overburden removal at an open pit coal mine.

Fuzzy logic has been used before at mining operations, as he recounts (see the paper in InfoMine library for full references.)

Nguyen et al (1985) studied some fuzzy set applications in mining geomechanics and determining fuzziness of rock mass classification. Bandopadhyay et al. (1986) developed fuzy algorithm for selection of post-mining uses of land and for decision making in mining engineering. Bandopadhyay (1987) indicated partial ranking of primary stripping equipment in surface mine planning and fuzzy algorithm. Gershon et al. (1993) studied mining method selection: a decision support system integrating multi-attribute utility theory and expert systems. Herzog et al. (1996) indicated ranking of optimum benefication methods via the analytical hierarchy process. Bascetin A., (1999) studied optimal equipment selection for open pit mining. Bascetin et al. (2006) developed a new software based on fuzzy logic which has visual basic interface for open pit and underground mining. Ataei and Osanloo, (2004) presented a new approach for optimum cutoff grade calculation using genetic algorithm. Clement et al. (1994), discusses an ongoing research work which attempts to formulate, develop and test mining equipment reliability assessment models based on genetic algorithms. Denby et al. (1998) use genetic algorithm for scheduling of open pit operations. Denby et al. (1995) use genetic algorithm for underground mine scheduling. Thomas G.S., (1996) uses genetic algorithm for optimization of open pits.

I will not try in this review to summarize the details of his methods—they are well set out in his paper. In essence the approach is an update of the old Multi Attribute Decision making approach we are mostly familiar with. Andy Robertson calls it the Multiple Accounts Analysis in it simplest form.

This paper and a number of others have just been added to the InfoMine library courtesy of Raj Singal who gave us permission to choose and post our favorites from the CD of the proceedings of the conference he organized called Mine Planning and Equipment Selection and Environmental Issues and Waste Management in Energy and Mineral Production for the 2007 conference held in Bangkok, Thailand. The full CD is available through the InfoMine eStore.