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《Journal of Gansu Lianhe University(Natural Science Edition)》 2008-05
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An Improved Adaptive Genetic Algorithm

WANG Qing-fei,HE Xing-shi (School of Science,Xi'an Polytechnic University,Xi'an 710048,China)  
To solve the problem of premature convergence and slow convergence flaws in the traditional genetic algorithm,a new genetic strategy which is based on information entropy is proposed.In this strategy,the algorithm will adaptively adjust its operator parameters in accordance with the current individual entropy and the population entropy.It ensures the diversity of the population and improve the global search capabilities.The result shows that this method can avoid the occurrence of premature convergence and provide excellent performance in dealing complex problems.
【CateGory Index】: TP18
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