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Mathematical modeling analysis of genetic algorithms under schema theorem

机译:架构定理下遗传算法的数学建模分析

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摘要

Genetic algorithm (GA) is a search algorithm for solving optimization problems and is an important part of evolutionary algorithms (EA). The main purpose of this research is to improve the mathematical modeling of GA, and to explore how to overcome the shortcomings of traditional algorithms under the Schema Theorem. The research results show that the improved GA can be more widely applied to the optimization problems and play an important role in solving practical problems.
机译:遗传算法(GA)是一种用于解决优化问题的搜索算法,是进化算法的重要组成部分(EA)。本研究的主要目的是提高GA的数学建模,并探讨如何在架构定理下克服传统算法的缺点。研究结果表明,改进的GA可以更广泛地应用于优化问题,并在解决实际问题方面发挥着重要作用。

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