Engineering Optimizations Using the Structured Genetic Aigorithm
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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.
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