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《第四届全国信息检索与内容安全学术会议论文集(下)》 2008年
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Applying Improved Genetic Algorithm to Materialized View Selection

【摘要】:正The paper improving classic genetic algorithm,proposes to accept the individual whose fitness becomes lower with a certain probability,and gives genetic algorithm an opportunity to escape local optimum and achieve global optimum finally.In addition,it calculates immediately individual fitness after genetic operation to individual and processes individual,which makes it search in assigned orientation.The experimental result shows that the improved genetic algorithm not only solves the"premature"problem of classic genetic algorithm,but also avoids the blind search of classic genetic algorithm.

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