Research Article

A Novel Idea for Optimizing Condition-Based Maintenance Using Genetic Algorithms and Continuous Event Simulation Techniques

Table 2

Parameters set for GA.

SerialDataValue

(1)Number of chromosomes (population size)200
(2)Number of generations (stopping criteria)200
(3)Selection procedureRoulette wheel
(4)Replacement strategyChildren-parents
(5)Probability of mutation1%
(6)Probability of crossover100%
(7)Generations considered without elitist selection100
(8)Parents’ fraction picked with elitist selection25%