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Leveraging domain-expert knowledge in a genetic algorithm for civil engineering design optimization

Chromosome evaluation for the civil engineering truss optimization problem is very expensive, thus limiting the number of iterations we can afford to perform. To try to improve convergence we used several mutation operators modeled after strategies used by domain experts. We ran experiments with various combinations of the operators and found that the domain-expert knowledge significantly improves the performance of the GA.