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控制理论与应用 2002
Genetic crossover strategy to obtain optimal solutions quickly
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Abstract:
This paper presents a crossover strategy that utilizes an approximation concept to steer the location of progeny in genetic algorithm. The use of such a crossover strategy provides the capacity of quickly moving progeny toward regions with improved fitness. Experiment results demonstrated that genetic algorithms with this crossover strategy could greatly accelerate the speed on obtaining optimal solutions.