ABSTRACT
This paper discusses an ongoing research work which attempts to formulate, develop and test mining equipment reliability assessment models based on Genetic Algorithms (GAs). GAs are powerful and broadly applicable stochastic search techniques based on the principles of natural selection, heredity and genetics. The reason for selecting GAs is the fact that the reliability of mining equipment changes over time due to its dependence upon several covariates/factors (e.g. the operating environment, number and quality of repairs). These factors create a combined and complex impact on the reliability function. This impact encapsulates and inherits to some degree the individual characteristics of the factors as they evolve over time. By using GAs, an attempt is made to capture the impact of the factors on the reliability function of a piece of equipment by mimicking the process of heredity and natural selection.
