Engineering Optimizations Using the Structured Genetic Aigorithm

This paper discusses the application of a new genetic search approach called the Structured Genetic Algorithm (sGA) for solving engineering optimization problems. The novelity of this genetic model lies in its hierarchical genomic structure and a gene activation mechanism in its chromosome. Simulation results exhibit its robustness in nding global optima.