Maintainability Analysis of Underground Mining Equipment Using Genetic Algorithms: Case Studies with an LHD Vehicle

Pseudocode 1

Pseudocode of a simple genetic algorithm [13].

Step  1. Initialization

Generate initial population 𝐼 at random or with prior knowledge

Step  2. Fitness evaluation

Evaluate the fitness for all individuals in 𝐼

Step  3. Selection

Select a set of promising candidates 𝐶 from 𝐼

Step  4. Crossover

Apply crossover to the mating pool 𝐶 for generating a set of offspring 𝑂

Step  5. Mutation

Apply mutation to the offspring set 𝑂 for obtaining its perturbed set 𝑂^′

Step  6. Replacement

Replace the current population 𝐼 with the set of offspring 𝑂^′

Step  7. Termination

If the termination criteria are not met, go to Step  2.