Abstract
AbstractGenetic algorithm is a random search algorithm that uses fitness function as a directional intelligent algorithm. It is based on the evolutionary law of the biological world and has many advantages in practical applications. This paper studies the application of genetic optimization algorithm in product intelligent design, analyzes genetic optimization algorithm and related theories of product intelligent design on the basis of literature data, and then analyzes the product intelligent design model based on genetic optimization algorithm, and test the genetic algorithm cited in the model constructed in this article. The test results show that the average running time of the improved genetic algorithm proposed in the article is reduced. Therefore, under the condition of adopting the elite retention strategy, the excellent individuals generated by the crossover it is retained and not destroyed by mutation, which improves the operation speed of the genetic algorithm, thereby improving the performance of the genetic algorithm.KeywordsGenetic algorithmProduct intelligenceIntelligent controlOptimization algorithm
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