Research Article
A Novel Idea for Optimizing Condition-Based Maintenance Using Genetic Algorithms and Continuous Event Simulation Techniques
Table 2
Parameters set for GA.
| Serial | Data | Value |
| (1) | Number of chromosomes (population size) | 200 | (2) | Number of generations (stopping criteria) | 200 | (3) | Selection procedure | Roulette wheel | (4) | Replacement strategy | Children-parents | (5) | Probability of mutation | 1% | (6) | Probability of crossover | 100% | (7) | Generations considered without elitist selection | 100 | (8) | Parents’ fraction picked with elitist selection | 25% |
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